About Hexnode

Hexnode is a global leader in Unified Endpoint Management (UEM), trusted in over 100 countries and managing millions of devices worldwide. With continuous innovation across Apple, Windows, Android, macOS, Linux, and tvOS ecosystems, Hexnode is redefining enterprise mobility and cybersecurity.

As we expand our Extended Detection and Response (XDR) capabilities, we are building a next-generation data platform designed for massive scale, real-time intelligence, and high-performance security analytics.

The Role

We are looking for a Senior Data Platform Engineer to architect, scale, and optimize the core data infrastructure powering our XDR product.

In this role, you will take ownership of the strategic evolution of our data layer — ensuring seamless ingestion, storage, indexing, search, and retrieval of high-volume security telemetry and device data. You will play a key role in transforming our platform into a highly scalable, cost-efficient, secure, and analytics-ready ecosystem that supports real-time detection, investigation, and advanced data science workflows.

This is a high-impact individual contributor role focused on architecture, platform modernization, and long-term scalability.

Key Responsibilities

• Architect and evolve the data layer to support high-throughput ingestion, real-time processing, and low-latency search across massive datasets.
• Evaluate existing search and storage platforms and drive modernization initiatives toward more scalable, performant, and cost-effective solutions.
• Design and implement optimized indexing, partitioning, and data structuring strategies for efficient querying and retrieval.
• Build and manage scalable data lake architectures that support advanced analytics, threat intelligence, and data science workflows.
• Define strategies for lifecycle management, retention, tiered storage, and cost optimization across the data platform.
• Ensure high availability, fault tolerance, and disaster recovery across distributed systems.
• Implement robust data security controls aligned with XDR and modern cybersecurity frameworks, ensuring data protection at rest and in transit.
• Collaborate closely with security engineering, backend teams, and data scientists to bridge raw telemetry ingestion with actionable insights.
• Continuously monitor platform performance and lead improvements in reliability, scalability, and operational efficiency.

Qualifications

• 6–10 years of professional experience in Data Engineering, Data Platform Engineering, or Distributed Systems Architecture as an Individual Contributor.
• Strong hands-on experience with large-scale distributed search and analytics platforms.
• Proven experience evaluating and migrating data platforms to improve scalability, performance, and cost efficiency.
• Deep understanding of indexing strategies, query optimization, and distributed data storage architectures.
• Practical experience designing and operating data lake environments supporting large-scale analytics and machine learning workflows.
• Strong knowledge of data lifecycle management, storage tiering, and cost optimization strategies.
• Experience implementing security best practices in distributed data systems, especially in security or telemetry-heavy environments.
• Solid understanding of high-volume ingestion pipelines and real-time data processing systems.
• Bachelor’s degree in Computer Science, Information Technology, or a related technical field.

What We’re Looking For

• A systems thinker who can design platforms for scale, not just features.
• Someone who can balance performance, cost, and reliability in large distributed systems.
• A hands-on architect who can both define strategy and execute technically.
• Strong ownership mindset with the ability to independently drive platform-level initiatives.
• Experience working in security, cybersecurity, SIEM, or XDR environments is a strong plus.

About Hexnode

Hexnode is a global leader in Unified Endpoint Management (UEM), trusted by over 100 countries and managing millions of devices worldwide. With a rapid pace of innovation, we have established ourselves as a dominant force across Apple, Windows, Android, macOS, Linux, and tvOS. Fuelling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape.

Role Overview

Hexnode is looking for a Technical Product Manager who thrives at the intersection of OS-level capabilities and scalable software architecture. You won't just be managing a "roadmap"—you will be the architect of the technical logic that powers our UEM and Security modules. Your mission is to translate complex OS protocols (Apple MDM, Android Management API, Windows CSPs) into seamless, high-performance product workflows.

Key Responsibilities

• Technical Workflow Architecture: Design the underlying logic and state machines for complex features like zero-touch enrollment, remote tunneling, and automated patch sequencing. You are responsible for the "if-this-then-that" logic, not the button colors.
• OS Framework Research: Conduct deep-root analysis of OS updates (macOS, Windows, Android, iOS, Linux, visionOS). You must be able to read developer documentation and determine how new system APIs can be leveraged to solve enterprise problems.
• Technical Spec Ownership: Write highly detailed functional specifications. Your documents should define API contracts, data schemas, error-handling logic, and end-user use cases (the “whys”) so clearly that Engineering has zero ambiguity during implementation.
• Feasibility & Scoping: Serve as the "Technical Truth." Work with Engineering to evaluate the trade-offs between different implementation paths, ensuring the solution is scalable and performant.
• System Integrity: Identify edge cases in cross-platform workflows. You need to anticipate how a policy change on a Windows 10 device might behave differently than on Windows 11 and build the logic to handle it.
• Competitive Technical Analysis: Move beyond "feature checklists." Evaluate competitors based on their technical implementation, API coverage, and agent architecture to ensure Hexnode’s technical superiority.

Requirements

• Experience: 4-6 years in Product Management within the B2B SaaS, Cybersecurity, or Systems Management space.
• Technical Literacy: You must be comfortable reading API documentation (REST, SOAP), understanding JSON/XML structures, and grasping how agents/daemons interact with an OS.
• Logical Rigor: Proven ability to map out complex, multi-step technical workflows. You should be able to explain the lifecycle of a packet or a command from the server to the endpoint.
• Problem Solving: A "First Principles" thinker. You don’t just want to know what a feature does; you want to know how the OS executes it.
• Communication: The ability to translate "Engineering-speak" into clear functional requirements for stakeholders, and vice versa.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience in a technical role).

What this role is NOT:

• It is NOT a UI/UX role: While we value clarity, your focus is the logic behind the dashboard, not the pixels on it.
• It is NOT a "People Manager" or Scrum Master role: You won't just be moving JIRA tickets or "coordinating." You are expected to contribute deep technical value to the product's core logic.
• It is NOT high-level strategy only: We need a "builder" mindset. You will spend more time in technical docs than in slide decks.

Job Description

We’re seeking a hands-on Senior Data Architect to design and modernize scalable, AI-ready data platforms across cloud. The ideal candidate has deep technical expertise in AWS, PySpark, and Python, and experience migrating legacy Java-based scripts to Spark frameworks while ensuring data quality, scalability, and performance.

Key Responsibilities

• Design and implement data architecture and pipelines using PySpark, Python, and AWS services (Glue, EMR, S3, Redshift, Athena).
• Modernize legacy systems by converting Java-based migration or ETL scripts into Spark-based solutions.
• Build and manage data lakes and data warehouses optimized for analytics and AI/ML workflows.
• Collaborate with data scientists and analysts to enable model training, deployment, and continuous data delivery.
• Define and document HLD (High-Level Design) and LLD (Low-Level Design) for scalable data systems.
• Implement standards for data quality, governance, performance optimization, and security.
• Lead troubleshooting, performance tuning, and architecture reviews for data pipelines.

Skills and Experience

• 15+ years of experience in data engineering or architecture, with strong hands-on development background.
• Expert-level proficiency in PySpark, Python, and SQL for data processing and transformation.
• Strong understanding of AWS data ecosystem — including Glue, EMR, S3, Redshift, and Lambda.
• Proven experience migrating or re-engineering Java-based ETL systems into modern Spark environments.
• Solid foundation in data lake, data warehouse, and cloud-native architecture design.
• Experience supporting AI/ML data pipelines and integrating data platforms with ML workflows.
• Strong documentation skills (HLD, LLD) and ability to communicate architecture clearly to technical and business stakeholders.
• Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
• Experience with GIT, Jenkins, & AWS
• Expertise in performance optimization and cost management for cloud environments
• Ability to manage multiple projects and priorities in a fast-paced environment
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional

Role Title: Automation & Solution Architect (GCB 4)

Function: Finance System Operations

Role Description:

Senior technical lead for Finance EUC automation scale-up. Accountable for end-to-end technical delivery across demand intake, requirements analysis, build & test, production deployment and RTB change management. Provides consultative input during opportunity scoping, ensuring solutions are feasible and aligned to IT-governed platforms (e.g., Alteryx/ADM) and established controls/guardrails. Leads technical documentation, testing evidence aligned to agreed closure criteria, and supports controlled releases. Partners with Finance Domain BA, POD Lead and platform support to ensure stable, supportable automation.

Skills / Knowledge / Experience:

• Lead & Design automation for EUC (End User Computing) remediation, using AI workflow automation to reduce operational risk, improve control compliance, and accelerate remediation at scale.
• Act as Solution Architect for the end-to-end remediation across Python & Alteryx / FRAME platform, aligning delivery to risk, control, and technology standards.
• Knowledge of Finance process landscape & core systems
• Identify and prioritize EUC remediation opportunities and translate them into an automation roadmap
• Design and deliver AI-assisted remediation capabilities with prompt engineering
• Build automation pipelines to streamline discovery, assessment, remediation tracking, and evidence generation.
• Define human-in-the-loop operating model for AI outputs (review, approval, exception handling) to ensure accountable decision-making
• Familiarity with Python, IT-managed automation platforms e.g., Alteryx
• Experienced in managing end-to-end Testing lifecycle i.e., Unit Testing, SIT, UAT
• Strong in Stakeholder management
• Agile Scrum Master, SAFe, and Project Manager skills set are desirable

Why we're hiring:

WPP is a creative transformation company, helping clients create growth by combining technology and creativity. As one of the world's largest marketing and advertising services organizations, we are committed to driving innovation and operational excellence across our vast global network.

You will be joining the Automation Operations Centre within WPP's Enterprise Technology, Automation & AI department. This is a pivotal time for us as we're building a dedicated, in-house team to deliver, manage, monitor, and optimize our growing portfolio of automation solutions. This team is at the forefront of our digital transformation, ensuring the seamless operation and continuous improvement of critical automation capabilities across WPP globally

You will play a crucial role in solution delivery and day-to-day technology management of the Global Automation Operations Centre (AOC) program. Reporting to the AAI Operations Director and AAI Product Lead, you will lead the architecture, standards, and advanced development requirements for our global automation portfolio. Alongside AAI Leadership, you will guide a crew of 6-10 developers to ensure the release of high-quality automation products on time and within budget.

The AOC is chartered to develop and delivery automation products, support global automation products or projects delivered by Automation delivery teams from around WPP. Our support apparatus gives those teams confidence and freedom to hand over their existing successes and continue innovating.

Are you a visionary technical leader with a deep mastery of the Microsoft Power Platform and a passion for engineering excellence? We are looking for an Automation Engineering Lead to drive our technical strategy and architectural standards. In this senior role, you will be responsible for conducting research spikes, providing technical guidance to development teams, and ensuring that our global automation suite is built on a foundation of robust, scalable, and maintainable components. You will combine your extensive experience from the D365/Dataverse era with modern ALM practices to keep our global operations at the cutting edge of AI and automation.

What you'll be doing:

Automation Engineering Lead (Engineering Excellence + AI-Driven Automation) 

We are looking for an experienced Automation Engineering Lead who combines a complete view across multiple engineering technology streams with a strong background in automation and AI-driven engineering practices across modern technology stacks. 

This is not a single-stack or platform-specific role. 

You will act as an enterprise engineering leader, responsible for designing scalable, high-performance solutions by evaluating the right engineering approach across diverse technology streams spanning APIs, backend services, modern frontends, cloud platforms, deployment architecture, and AI/ML capabilities. 

You will play a critical role in shaping engineering strategy, establishing end-to-end engineering processes, guiding engineering teams, and ensuring solutions are fit-for-purpose, scalable, and future-ready. 

 What You’ll Be Doing 

Solution Architecture & Technology Decisioning 

• Own end-to-end architecture for automation use cases across the enterprise  

• Evaluate and recommend the right approach across:  

• Cloud-native engineering (microservices, serverless, container platforms)  

• Custom engineering (APIs, backend services, UI frameworks)  

• AI-augmented automation combining ML services, LLMs, and intelligent workflows  

• Make informed trade-offs between build vs buy, custom vs platform, and AI-driven vs deterministic approaches based on scalability, cost, and maintainability  

• Act as a key decision-maker on the right technology stream and tooling for each engineering problem  

• Knowledge in Power Platform (Power Apps, Power Automate, Dataverse) 

 Architectural Governance 

• Define and enforce global architecture standards, design patterns, and best practices  

• Establish reusable engineering frameworks and AI-driven automation accelerators across teams  

• Ensure consistency, scalability, and maintainability across implementations  

 Technical Leadership 

• Lead and mentor a team of 6–10 engineers  

• Provide hands-on guidance, solution reviews, and architectural oversight  

• Drive engineering excellence and a culture of continuous improvement  

 Advanced & Hybrid Development 

• Lead complex implementations involving:  

• Custom connectors and API integrations  

• AI/ML model integration and intelligent automation patterns  

• Backend services (.NET / Java / Node.js / Python) where required  

• Handle research spikes and evaluate new tools, frameworks, and capabilities  

 Integration & Data Architecture 

• Design robust integration solutions using:  

• REST APIs, webhooks, and service-based architectures  

• Event-driven and asynchronous processing patterns  

• Work with structured and unstructured data across:  

• Cloud data platforms (Azure Data Lake, BigQuery, Snowflake, etc.)  

• SQL / external data systems  

• Dataverse 

• Optimize performance, scalability, and reliability of automation workflows  

 ALM & DevOps Strategy 

• Own and mature end-to-end engineering processes including ALM, code quality, and release governance across the organization  

• Implement CI/CD pipelines, deployment automation, and infrastructure-as-code using Azure DevOps, GitHub Actions, Jenkins, or similar  

• Drive adoption of code-first, version-controlled, and AI-assisted development practices  

 Stakeholder Collaboration 

• Partner with business and leadership teams to translate requirements into scalable technical solutions  

• Align architecture decisions with business goals, timelines, and budgets  

• Communicate complex technical concepts to both technical and non-technical stakeholders  

 Security, Compliance & Supportability 

• Ensure solutions comply with enterprise security, governance, and data protection policies  

• Design solutions for operational readiness, observability, and smooth handover to support teams  

 What You’ll Need 

Experience 

• 12+ years in software engineering, solution architecture, or enterprise application development  

• Proven track record leading engineering teams across multiple technology streams with a strong background in automation and AI-driven engineering  

• Knowledge in Power platform or Dynamics 365 ecosystem 

 Engineering Process & AI-Automation Expertise 

• Deep expertise in:  

• End-to-end engineering processes (SDLC, code reviews, quality gates, release management) implemented at organizational scale  

• Deployment and technical architecture across cloud and hybrid environments  

• Automation engineering (CI/CD, infrastructure-as-code, test automation, workflow automation)  

• Experience with:  

• Engineering AI workstreams (LLMs, agentic systems, intelligent automation)  

• Applying AI in automation (code generation, automated testing, intelligent code review, copilots)  

• Ability to drive engineering excellence and modernize platforms using AI-augmented approaches  

 Architecture & Engineering Breadth (Critical) 

• Strong experience with API design and REST-based integrations  

• Solid understanding of SQL, data modeling, and performance optimization  

• Hands-on experience with at least one backend technology (.NET / Java / Node.js / Python)  

• Exposure to modern frontend frameworks (React or similar)  

• Understanding of:  

• Microservices and distributed systems  

• Event-driven architecture (queues, messaging, pub/sub)  

• Proven ability to design and deliver solutions across diverse engineering streams with the right deployment and architecture choices  

 DevOps & ALM 

• Experience with CI/CD pipelines and automated deployments  

• Familiarity with Azure DevOps, GitHub Actions, or similar tools  

• Strong understanding of environment strategy, solution segmentation, and release management  

 Leadership & Problem Solving 

• Proven ability to lead and mentor engineering teams  

• Strong architectural thinking and decision-making skills  

• Ability to solve complex, ambiguous technical challenges  

• Excellent communication and stakeholder management skills  

 Nice to Have 

• Experience with Azure services (Functions, Logic Apps, Service Bus, API Management)  

• Knowledge of enterprise integration patterns and iPaaS platforms  

• Hands-on experience embedding LLMs, agents, or copilots into automation and engineering workflows  

 Certifications 

• Certifications in AI/ML, DevOps, or enterprise architecture (TOGAF, SAFe, or equivalent), PL-600: Microsoft Power Platform Solution Architect (preferred)  

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#onsite

About the Role

Platform Science is looking for a Full Stack Developer  with expertise in cloud-native full-stack development (React, Node, NoSql, AWS/Azure) to join our dynamic team in Chennai. You will be instrumental in designing, developing, and deploying robust, scalable, and high-performance software for high-velocity fleet management solutions. You will collaborate with full stack teams to gather requirements, deliver technical solutions, and ensure the successful delivery of projects with an innovative mindset. This role requires deep technical knowledge, exceptional problem-solving abilities, and a strong understanding of software engineering principles and best practices.

You report to the Software Development Manager (implied reporting structure based on template).

Essential Responsibilities

• Architect and implement scalable, secure, and performant solutions using modern web and backend technologies.

• Collaborate with cross-functional teams to integrate third-party services, APIs, and data sources, ensuring seamless interoperability.

• Design and implement micro-frontend architectures for modular applications and robust authentication/authorization mechanisms.

• Produce clean, maintainable, and well-documented code, and mentor and coach team members on technical design and coding standards.

• Stay current with emerging technologies and best practices in web and backend development, troubleshooting and debugging issues for optimal application performance.

Experience

Required experience

• 8+ years of professional software development experience, including 2+ years in senior technical or leadership roles.

• Strong expertise in full stack development with React.js, Node.js, and API development.

• Solid understanding of microservices architecture, containerization (Docker), and orchestration (Kubernetes).

• Expertise in event-driven integration patterns (e.g., pub/sub messaging).

• Proven ability to architect and design scalable, distributed, cloud-native systems (AWS/Azure or GCP).

• Proficiency with JavaScript, Redux, Webpack, and UI frameworks (Material UI, Bootstrap).

• Hands-on experience with NoSQL databases such as ElasticSearch, MongoDB, or Firestore.

Other Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field.

• Strong grasp of software engineering principles, design patterns, data structures, and algorithms.

• Demonstrated leadership skills in mentoring engineers, driving technical excellence, and fostering a culture of collaboration and accountability.

• Excellent oral and written communication skills (implied requirement).

• Passion and willingness to learn new technologies (implied requirement).

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice). Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is looking for a Lead Software Engineer with deep expertise in cloud-native full-stack development to join our dynamic team in Chennai. In this leadership role, you will be responsible for designing and deploying robust, scalable software for our high-velocity fleet management solutions. You will serve as a technical anchor, collaborating with cross-functional teams to deliver innovative technical solutions while ensuring the highest standards of software engineering principles and best practices.

Essential Responsibilities

• Architectural Leadership: Architect and implement scalable, secure, and performant solutions using modern web and backend technologies, including microfrontend architectures for modular applications.

• Full-Stack Development: Produce clean, maintainable, and well-documented code using React, Node.js, and NoSQL databases; conduct thorough code reviews to maintain technical excellence.

• System Integration: Collaborate with teams to integrate third-party services, APIs, and data sources, ensuring seamless interoperability and robust authentication/authorization mechanisms.

• Mentorship & Coaching: Lead and mentor team members on technical design, coding standards, and professional development, fostering a culture of accountability and collaboration.

• Optimization & Performance: Troubleshoot and debug complex issues to guarantee optimal application performance and cross-device/browser compatibility.

• Strategic Growth: Stay current with emerging technologies and best practices to drive the technical roadmap for web and backend development.

Experience

Required Experience

• 8+ years of professional software development experience, including at least 2+ years in senior technical or leadership roles.

• Strong expertise in full-stack development with React.js, Node.js, and API development.

• Proven ability to architect and design scalable, distributed, cloud-native systems (AWS, Azure, or GCP).

• Solid understanding of microservices architecture, containerization (Docker), and orchestration (Kubernetes).

• Expertise in event-driven integration patterns (pub/sub messaging, event-driven microservices communication).

• Hands-on experience with NoSQL databases such as ElasticSearch, MongoDB, or Firestore.

• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Nice to Have

• Experience with frontend build tools (Webpack) and state management (Redux).

• Familiarity with UI frameworks like Material UI or Bootstrap.

• Advanced knowledge of data structures, algorithms, and complex system design.

Traits of a Successful Candidate

• Technical Mentor: Passionate about driving technical excellence and fostering a collaborative, knowledge-sharing environment.

• Problem Solver: Deep technical knowledge and the ability to debug complex, distributed software systems.

• Innovative Mindset: Proactive in identifying and adopting new frameworks and tools to optimize development workflows.

• Strong Communicator: Ability to translate complex requirements into technical specifications for cross-functional stakeholders.

Benefits & Legal

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note: The compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Platform Science collects your personal information to support its business operations. You can review further details in our Privacy Policy.

Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

About the Role

Platform Science is looking for a Lead Software Engineer with expertise in cloud-native full-stack development (React, Node, NoSql, AWS/Azure) to join our dynamic team in Chennai. You will be instrumental in designing, developing, and deploying robust, scalable, and high-performance software for high-velocity fleet management solutions. You will collaborate with full stack teams to gather requirements, deliver technical solutions, and ensure the successful delivery of projects with an innovative mindset. This role requires deep technical knowledge, exceptional problem-solving abilities, and a strong understanding of software engineering principles and best practices.

You report to the Software Development Manager (implied reporting structure based on template).

Essential Responsibilities

• Architect and implement scalable, secure, and performant solutions using modern web and backend technologies.

• Collaborate with cross-functional teams to integrate third-party services, APIs, and data sources, ensuring seamless interoperability.

• Design and implement micro-frontend architectures for modular applications and robust authentication/authorization mechanisms.

• Produce clean, maintainable, and well-documented code, and mentor and coach team members on technical design and coding standards.

• Stay current with emerging technologies and best practices in web and backend development, troubleshooting and debugging issues for optimal application performance.

Experience

Required experience

• 8+ years of professional software development experience, including 2+ years in senior technical or leadership roles.

• Strong expertise in full stack development with React.js, Node.js, and API development.

• Solid understanding of microservices architecture, containerization (Docker), and orchestration (Kubernetes).

• Expertise in event-driven integration patterns (e.g., pub/sub messaging).

• Proven ability to architect and design scalable, distributed, cloud-native systems (AWS/Azure or GCP).

• Proficiency with JavaScript, Redux, Webpack, and UI frameworks (Material UI, Bootstrap).

• Hands-on experience with NoSQL databases such as ElasticSearch, MongoDB, or Firestore.

Other Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field.

• Strong grasp of software engineering principles, design patterns, data structures, and algorithms.

• Demonstrated leadership skills in mentoring engineers, driving technical excellence, and fostering a culture of collaboration and accountability.

• Excellent oral and written communication skills (implied requirement).

• Passion and willingness to learn new technologies (implied requirement).

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice). Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Job Overview:

We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments

Key Responsibilities:

• Lead RFP/RFI responses with strong technical and business narratives.
• Design solution proposals, demos, and workshops with sales teams.
• Build sales assets such as whitepapers, PoV decks, and blueprints.
• Engage C-suite leaders to evangelize AI/GenAI solutions.
• Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
• Translate business needs into scalable, secure, and compliant AI solutions.
• Ensure smooth design-to-delivery with engineering teams.
• Establish frameworks for AI governance and responsible AI.
• Mentor architects, data scientists, and engineers.
• Drive knowledge sharing through playbooks, accelerators, and best practices.
• Collaborate with cloud, data, security, and domain SMEs for integrated solutions.

Key Skills

• 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
• Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
• Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
• Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
• Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
• Proven team leadership experience, including mentoring and managing architects/engineers.
• Excellent communication, presentation, and client-facing skills.

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

How do you want to pay? It’s a question you’ve answered on-screen or in-person thousands of times, but your choices have always been limited. Imagine the flexibility to pay however you want – credit, debit, multiple currencies, frequent flyer miles, loyalty points, or digital payments - all on the same card or digital wallet. Sound impossible? Episode Six makes the seemingly impossible happen every day. 

We’re a global provider of API-based payment processing and wallet management infrastructure. We’re 100% cloud-native, hyper-configurable, and a “Top 10 Place to Work in Fintech.” And we’re changing how people think about payments. 

Today, we’re powering payments for one of the world’s largest banks and airlines and numerous innovative fintechs. E6 is headquartered in Austin with offices in Tokyo, Singapore, Brisbane, and London. We provide technology for clients in 24 countries on four continents. Since 2018 when we launched with HSBC, we have grown more than 10x. 

Interested in redefining what’s possible in payments? Join Episode Six today. 

What we’re hiring for:  

We are a growing fintech organization looking to add a Solutions Architect for our Global Delivery team! This role will be for our delivery team based in Chennai, India.

What you’ll be responsible for in this role:  

• Lead technical pre-sales exercises with customers 
• Prepare and deliver technical presentations 
• Lead design of creative solutions from conception to delivery, shaping our clients’ thinking 
• Support sales in answering RFI/RFP/RFQ (technical focus) and other customer proposals 
• Crafting well defined description of operations/statement of works, partitioning solutions, supporting definition of project specifications, requirements and any development needs 
• Working with development teams and project managers to deliver client solutions as per the agreed scope 
• Providing solutions assurance, ensuring our proposals meet our client’s business requirements and align with our technology strategy & standards 
• Articulating and managing technical risks 
• Supporting Episode Six’s goals and objectives such as those related to sales, productivity, profitability and industry penetration 
• Assisting in developing strategies and materials in support of the Episode Six’s overall solution architecture practice, business development and sales effort 
• Contributing to our roadmap, shaping our future solutions 
• Providing subject matter expertise to our clients and colleagues 
• Traveling as required, mostly in UK region 

What experiences and skills are necessary to be successful in this role:  

• 10 years of experience in: customer facing roles, solution architecture & technical design, and payments industry with a focus on cards products such as credit, debit, prepaid etc. 
• Excellent communication skills (English) – ability to engage across a broad range of stakeholders at an appropriate level, business or technical 
• Ability to articulate ideas/solutions clearly, visually and written 
• Experience working with APIs 
• Strong technical understanding, capability and willingness to learn and develop skills on a daily basis 
• Very driven and self-motivated, able to work autonomously 
• A team player with a ‘can-do’, entrepreneurial attitude that thrives in an agile, ever-changing world 
• Knowledge of payment concepts and global payments landscape; preference to the local regulatory landscape in the US region 
• Application architecture/domain expertise in Java based applications and cloud/on-premise infrastructure 

What makes a successful E6er?  

• We appreciate the unique backgrounds, skill sets, experiences, and contributions each E6er brings. With a strong culture of respect for all, we foster an inclusive and supportive environment for every E6er to excel and grow. 
• We take immense pride in everything we do, no matter how big or small. We work hard, we work smart, and we sweat the details. We are humble enough to know that we do not know it all. We are excited to come to work every day, knowing we will be learning, improving, innovating, and making an impact. 
• A people first mentality. Professional development from day 1, a 360 focus on your wellbeing, and the ability to work where you need to, we’re here to support you. 

Episode Six is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics.

Episode Six is committed to providing reasonable accommodations for qualified individuals with disabilities who may require assistance during the application or interview process. Please reach out to E6’s Talent Acquisition Team at recruiting@episodesix.com if you need any support.

How do you want to pay? It’s a question you’ve answered on-screen or in-person thousands of times, but your choices have always been limited. Imagine the flexibility to pay however you want – credit, debit, multiple currencies, frequent flyer miles, loyalty points, or digital payments - all on the same card or digital wallet. Sound impossible? Episode Six makes the seemingly impossible happen every day. 

We’re a global provider of API-based payment processing and wallet management infrastructure. We’re 100% cloud-native, hyper-configurable, and a “Top 10 Place to Work in Fintech.” And we’re changing how people think about payments. 

Today, we’re powering payments for one of the world’s largest banks and airlines and numerous innovative fintechs. E6 is headquartered in Austin with offices in Tokyo, Singapore, Brisbane, and London. We provide technology for clients in 24 countries on four continents. Since 2018 when we launched with HSBC, we have grown more than 10x. 

Interested in redefining what’s possible in payments? Join Episode Six today. 

What we’re hiring for:  

We are a growing fintech organization looking to add a Solutions Architect for our Global Delivery team! This role will be for our delivery team based in Chennai, India.

What you’ll be responsible for in this role:  

• Lead technical pre-sales exercises with customers 
• Prepare and deliver technical presentations 
• Lead design of creative solutions from conception to delivery, shaping our clients’ thinking 
• Support sales in answering RFI/RFP/RFQ (technical focus) and other customer proposals 
• Crafting well defined description of operations/statement of works, partitioning solutions, supporting definition of project specifications, requirements and any development needs 
• Working with development teams and project managers to deliver client solutions as per the agreed scope 
• Providing solutions assurance, ensuring our proposals meet our client’s business requirements and align with our technology strategy & standards 
• Articulating and managing technical risks 
• Supporting Episode Six’s goals and objectives such as those related to sales, productivity, profitability and industry penetration 
• Assisting in developing strategies and materials in support of the Episode Six’s overall solution architecture practice, business development and sales effort 
• Contributing to our roadmap, shaping our future solutions 
• Providing subject matter expertise to our clients and colleagues 
• Traveling as required, mostly in UK region 

What experiences and skills are necessary to be successful in this role:  

• 10 years of experience in: customer facing roles, solution architecture & technical design, and payments industry with a focus on cards products such as credit, debit, prepaid etc. 
• Excellent communication skills (English) – ability to engage across a broad range of stakeholders at an appropriate level, business or technical 
• Ability to articulate ideas/solutions clearly, visually and written 
• Experience working with APIs 
• Strong technical understanding, capability and willingness to learn and develop skills on a daily basis 
• Very driven and self-motivated, able to work autonomously 
• A team player with a ‘can-do’, entrepreneurial attitude that thrives in an agile, ever-changing world 
• Knowledge of payment concepts and global payments landscape; preference to the local regulatory landscape in the US region 
• Application architecture/domain expertise in Java based applications and cloud/on-premise infrastructure 

What makes a successful E6er?  

• We appreciate the unique backgrounds, skill sets, experiences, and contributions each E6er brings. With a strong culture of respect for all, we foster an inclusive and supportive environment for every E6er to excel and grow. 
• We take immense pride in everything we do, no matter how big or small. We work hard, we work smart, and we sweat the details. We are humble enough to know that we do not know it all. We are excited to come to work every day, knowing we will be learning, improving, innovating, and making an impact. 
• A people first mentality. Professional development from day 1, a 360 focus on your wellbeing, and the ability to work where you need to, we’re here to support you. 

Episode Six is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics.

Episode Six is committed to providing reasonable accommodations for qualified individuals with disabilities who may require assistance during the application or interview process. Please reach out to E6’s Talent Acquisition Team at recruiting@episodesix.com if you need any support.

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

Responsibilities

We are looking for an experienced Senior Forward Deployed Engineer to join our AI Solutions team. In this role, you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

• Architect and implement agent-based AI solutions using the Workato Agentic AI platform.

• Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform.

• Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs).

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.

• Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability.

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.

Requirements

Please note: In this role, you will be supporting the US business hours from 6:30 PM to 3:30 AM IST!

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• A total of 8+ years of relevant experience in design, development, and implementation, with at least 3 years of experience with the Workato platform, is a must.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.

• 5+ years of experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.

• 2-3 years of coding experience (Java/Python/Ruby).

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space.

• Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.

• Working knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact.

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset.

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations.

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience.

• Fast learner who can independently conduct extensive research and synthesize ideas, information and options quickly.

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge.

Please respond to the Job Application Questions below with thorough and honest answers - concise yet detailed responses will distinguish you in our selection process. 
All submissions are personally reviewed by the Hiring Team, not evaluated by AI.

Why we're hiring:

The Enterprise Security Architect at WPP will be a pivotal role, responsible for defining and evolving the security architecture within WPP. This role ensures that WPP's technology landscape is designed with security, resilience, and compliance as fundamental pillars. The architect will bridge the gap between business objectives, regulatory requirements, and technical implementation, specifically focusing on embedding security best practices.

Operating heavily in the Cyber Risk and Compliance function, the role will have a strong Security Operations architecture focus and will be key to ensuring the Security Operations function is successful and effective.  

This role offers a unique opportunity to shape the security foundation of one of the world's leading creative transformation companies. You will work on cutting-edge technologies, collaborate with diverse global teams, and directly contribute to protecting WPP's intellectual property, client data, and brand reputation in an evolving digital landscape.

What you'll be doing:

Security Architecture Strategy: Develop, maintain, and communicate the domain-specific security architecture vision, strategy, and roadmap, ensuring alignment with WPP's overall enterprise security strategy and business goals.

Secure Design & Development: Provide expert architectural guidance and oversight for key projects and initiatives within the domain, advocating for secure design principles, patterns, and practices throughout the software development lifecycle.

 Compliance & Governance: Ensure that architectural designs and implementations adhere to relevant regulatory compliance frameworks (e.g., GDPR, CCPA, ISO 27001) and internal security policies. Participate in security audits and assessments, translating findings into actionable architectural improvements.

 Threat & Risk Management: Conduct architectural risk assessments and threat modelling within the domain, identifying potential vulnerabilities and recommending appropriate mitigating controls. Integrate risk management practices into architectural decision-making.

 Cybersecurity Integration: Embed advanced cybersecurity concepts, technologies, and best practices (e.g., identity and access management, data protection, network security, incident response capabilities) into the domain's architecture.

Standards & Patterns: Define and promote security architecture standards, guidelines, and reusable patterns for the domain to foster consistency, efficiency, and robustness across solutions. Create associated designs and artefacts as the requirement arises. 

Stakeholder Collaboration: Work closely with other Enterprise Architects, Security Operations, CISO office, Development Teams, Product Owners, and Legal/Compliance to translate security requirements into technical solutions and gain consensus on solutions and architectural direction.

Technology Evaluation: Research, evaluate, and recommend new security technologies and architectural approaches that can enhance the security posture and efficiency of the domain.

Documentation & Communication: Create clear, concise, and comprehensive security architecture documentation, including diagrams, principles, and decision records. Effectively communicate complex security concepts to technical and non-technical audiences.

Security Solution Architecture: When required, form, lead and contribute to successful deliver of specific security solutions and workstreams.

What you'll need:

• Bachelors\master’s degree in computer science, Information Security, or a related field.
• Relevant industry certifications such as CISSP, CISM, SABSA, TOGAF, or CCSP are highly desirable.
• Architectural Expertise: Proven experience (2+ years) as an Enterprise Architect, Domain Architect, or Security Architect in a large, complex enterprise environment, preferably within the advertising, media, or professional services industry.
• Security Frameworks: Deep understanding and practical experience with security architecture frameworks (e.g., NIST, SABSA, TOGAF-ADM with security overlays) and industry best practices.
• Cybersecurity Knowledge: Strong understanding of contemporary cybersecurity threats, attack vectors, and defence mechanisms. Experience with various security domains including application security, infrastructure security, data security, cloud security (AWS, Azure, GCP), and identity management.
• Compliance Acumen: Solid knowledge of data privacy regulations (e.g., GDPR, CCPA) and other relevant industry compliance standards (e.g., ISO 27001, SOC 2).
• Risk Management: Demonstrated ability to perform security risk analysis, articulate risks to stakeholders, and propose effective architectural mitigations.
• Analytical & Problem-Solving: Exceptional analytical skills to decompose complex security challenges into manageable architectural solutions.
• Communication & Influence: Excellent verbal and written communication skills, with the ability to influence technical teams and senior leadership on security architectural direction.
• Technical Acumen: Hands-on experience with security tools and technologies is a plus, enabling informed architectural decisions.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

About the Team At Business Technology, we use Appian to run Appian. We are launching our first internal AI team to build the foundation for how our global company works. This team won't just use AI, they will build the brain of the enterprise, spanning everything from predictive intelligence in our data warehouse to the GenAI infrastructure that powers our internal autonomous agents.

We are hiring a founding group of engineers to kickstart this mission. As an AI Engineer on this team, you won’t be maintaining legacy systems; you’ll be building from the ground up. You will own the full spectrum of AI: crafting predictive ML models to find insights in our data warehouse and architecting GenAI systems that allow any employee to interact with enterprise knowledge through intelligent agents.

If you want to be part of the original team that defines internal AI for a leading automation company, this is your moment.

PLEASE NOTE: This is a midlevel role and is aimed at people with 3+ years experience

What you’ll do:

• Build the AI Platform: Design, deploy, and scale GenAI infrastructure on GCP Vertex AI (preferred) or AWS Bedrock.
• Build & Operate MCP Servers: Develop and maintain Model Context Protocol (MCP) servers that expose enterprise systems (databases, APIs, internal tools) as structured, AI-consumable capabilities.
• Design the Tool Layer: Build the tool registry and invocation framework that allows agents to interact with internal systems safely and reliably including schema design, access controls, and error handling.
• Engineer Agent-to-Agent Infrastructure: Architect the communication and coordination layer that allows specialized agents to delegate tasks, share context, and compose into larger autonomous workflows.
• Own the Retrieval Layer: Architect and operate RAG systems, including vector stores, embedding pipelines, chunking strategies, and retrieval evaluation frameworks.
• Establish AI Reliability: Instrument AI systems with logging, tracing, latency monitoring, and evaluation hooks so agents can be trusted, debugged, and improved in production.

Required Qualifications:

• AI Infrastructure Experience: Professional experience building and deploying production-grade GenAI systems on GCP Vertex AI or AWS Bedrock including LLM APIs, agent frameworks, and RAG pipelines.
• Python Mastery: Deep proficiency in Python and common AI/ML libraries (e.g., LangChain, LlamaIndex, OpenAI SDK, Google Cloud AI SDK).
• Agentic Systems: Hands-on experience building multi-step, tool-calling AI agents that operate reliably in production including tool schema design, structured outputs, and failure handling.
• MCP or Tool Protocol Experience: Familiarity with Model Context Protocol (MCP) or equivalent patterns for exposing enterprise resources to AI systems as callable, permissioned tools.
• Vector & Retrieval Systems: Experience with vector databases (Pinecone, pgvector, or similar) and embedding-based retrieval at scale.
• Technical Foundation: B.S. in Computer Science, Engineering, or a related technical field.
• The Pioneer Mindset: A self-starter who is excited to be part of a "first-of-its-kind" team and thrives in environments where you are building the playbook.

Preferred Qualifications:

• Multi-Agent Architectures: Experience designing orchestrator/subagent patterns, agent handoff protocols, or systems where multiple AI models coordinate to complete complex tasks (e.g., using frameworks like LangGraph, CrewAI, or AutoGen).
• AI Observability: Experience with LLM evaluation frameworks, prompt regression testing, or agent trace monitoring (e.g. custom eval pipelines).
• Data Warehouse Integration: Familiarity with SQL and pulling data from Snowflake or BigQuery to ground AI agents in live business context.
• Appian Exposure: Experience with the Appian platform or interest in integrating AI agents into low-code automation workflows.
• Predictive ML (Nice to Have): Some familiarity with ML fundamentals is a plus, but not a focus of this role.

This role is based at our Chennai office in Brigade World Trade Center Chennai. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian.  

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things!  We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:

Honesty, Reliability, Curiosity, Collaboration, and Passion.

 About the role and what you'll be doing: 

Ensono's Enterprise Solution Architects are cross-functional technical Architects that bring multi-tower solutions together. This is a pre-sales role in which they work alongside and support Sales, Consulting and Client Success organizations to service our clients. They work with clients’ business and technical teams, and with Ensono's internal teams to create winning solutions. To that end, Enterprise Architects must be effective in fostering senior management and executive level relationships with an emphasis on client satisfaction. Throughout the engagement process, from discovery to solution implementation, ESAs must work with and often lead multi-disciplinary teams. They also lead the solution hand-over for delivery into internal delivery and ops teams. Ultimately, he/she remains the owner of the overall technical solution. 

What we are looking for

• Well versed in the hosting technology and outsourcing services landscape
• Experienced communicator at all levels of internal and external audience ranging from engineering/admin to C-level
• Experienced with large ITO, infrastructure, and transformation deals ($50M+ TCV)
• Has experience with (and preferably certified on) hyper-scale cloud platforms (AWS, Azure, GCP)
• Experienced in planning and executing discovery and design workshops internally and at client sites
• Previous experience as an SA (Sales/Solutions Engineer, Solutions Architect) with service providers
• Comfortable with executive level positioning of complex solutions that span multiple disciplines (services, hosting, network, security, storage and backup, DR, etc.)
• Familiar with complex sales cycles and contracting process
• Familiar with and can help create financial (pricing) models to support technical solutions

Job Responsibilities / Key Tasks:

• Support strategic pursuits as the Lead Solution Architect for all initiatives (multi-tower)
• Collaborate with counterparts in the Sales, Consulting and Delivery organizations to create Pursuit, Solution, Sales and Delivery strategies for Enterprise Clients
• Conduct discovery, assessment and solution development workshops (often in collaboration with resources from consulting, operations and product teams) to craft winning solutions
• Develop and document solutions that meet client's (technical and business) requirements and allow them to adapt to changing industry needs with a focus on transformation and re-platform efforts
• Create win-win solutions for both client and Ensono as part of the deal qualification, pursuit, and execution process
• Aid in driving stability and innovation within the client's current and future state and create solutions based on client requirements and available product offerings
• Push for higher value/value added services and solutions in line with Ensono's offerings
• Present technical solutions and business cases to a wide variety of internal and external audience
• Gain clients' confidence as a trusted advisor by offering consultation and recommendations drawn from insights, technology know-how and past experiences
• Work with finance and pricing teams to create simple pricing to multi-year pro-forma models
• Help build the commercial construct and pricing for IT outsourcing, and large managed services deals
• Align and partner with Product Management to help drive appropriate product enhancements and changes to technology roadmap
• Work with Finance, Product, Operations, Legal, and other internal stakeholders to deliver client proposals and contract materials (MSA review, SOW development and redlining, etc.)
• Draft and negotiate SOW, contracts, and sub-contract agreements, ensuring T&Cs alignment and risk mitigation
• Participate in deal reviews and advise Ensono senior management team regarding technical, commercial and competitive aspects
• Provide post-close consulting, knowledge transfer, and deal documentation to ensure smooth internal transition for transition, delivery, operations, and billing
• Participate in Industry Conferences and Consulting Reviews

We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. 

What You Will Need:

• Experience in a pre-sales Solution Engineer or Architect role at a service provider with managed services, infrastructure, data center and transformation solutions
• Successfully concluded at least 10+ IT Outsourcing, Cloud, Managed Services, or transformation deals of $50M TCV or greater
• Complete understanding of the sales process for complex technical solution selling including ITO deals
• Strong understanding of Financial, Negotiation and Contractual issues and regulations in IT outsourcing deals
• Strong analytical and reasoning skills related to technical, contractual and financial issues
• Broad technical knowledge in data center, hosting, and hybrid cloud technologies
• Well versed in the hosting technology landscape including compute, storage, backup, network, security, End User Services, BC/DR, DevOps and IT governance
• Deep understanding of IT services outsourcing solutions
• Hybrid environment solutioning experience with the following:
  • Public cloud platforms (AWS, Azure, GCP, OCI)
  • Hypervisor Environments (VMware, Openshift) - Preferred
  • IBM Power (IBMi, AIX, Linux on Power)
• Excellent written and oral communication skills and proficient in MS Excel, PowerPoint, Word etc.
• Experience in technical documentation to capture solution components in a timely manner while ensuring acceptable level of detail, data integrity, and accountability
• Ability to share knowledge and expertise among various organizations within the company and to facilitate teamwork among those organizations to better serve our clients

Skills and Key Attributes

• Strong presentation, communication, and influencing skills at a C-level
• Independent, Self-directed, Results oriented
• Strong empathy, self-awareness and interpersonal skills
• Business and customer-oriented player with strong team orientation
• Ability to manage periods of high project demand, short deadlines and operate under pressure

Education and Experience

• 15+ years of experience with at least 10+ years with a service provider and/or cloud MSP
• Bachelor’s degree in Computer Science, Engineering or other technical disciplines
• Major Industry accreditations / certifications a plus

Shift Timings: 1:30 PM to 10:30 PM IST

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

JOB ROLE SUMMARY The Mainframe Systems Programmer provides support for on-going projects that require the installation, testing, and implementation of new operating systems and other 'system' software. Also, the Maintenance and debugging of systems software. Coordination and the IOGEN work for new MF hardware. Research and evaluation of new software and hardware products, assisting team members and other areas with technical questions and problem resolution. Monitoring and tuning of systems software. Functional knowledge, use of z/OS components and detailed knowledge of support products such as tape management, scheduling, security, monitoring systems, etc. DUTIES AND RESPONSIBILITIES Consistently provides proven, formal mentorship High complexity assignments * owner Moderate complexity assignments * owner (1 or >) Low complexity assignments * provide oversight/review Regularly lead self and others and/or established as Product SME and/or established as specialist Understands how whole picture aligns to overall Ensono strategy Provide thought leadership within GTS Provides Technical Architect storage support for HW and SW Software solutions. Processes communication skills to participate in Client meetings and new business deals. Works directly with Hardware and Software vendors on new solutions. Review and analyze current client software and requirements to determine the most cost-effective and standard software solution to be included in the business proposal. Enhance the performance of others through mentoring and guiding Design automated monitoring techniques for problem identification and prevention Provide and document problem analysis, resolution and prevention, designing procedures and best practice techniques SUPERVISORY RESPONSIBILITIES This position does not have direct reports but may mentor less experienced associates in the role. RECRUITING INFORMATION Specific hiring needs may vary by location, industry, client, internal department and other business related factors. The qualifications section lists examples that may be used as guidance when populating required and preferred skills sections of recruiting requisitions / job postings. QUALIFICATIONS Required Ten years hands on/industry experience Preferred Ability to perform skill set of a Mainframe System Programmer Ability to perform complex ISV installations Ability to perform and lead complex projects Ability to mentor and show leadership qualities Travel % TBD by field – Needed to create job code and for Department of Labor Any reference to years of experience should be disregarded in the UK

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request

The Opportunity

As the US Healthcare ISO / Six Sigma / Quality Manager or Director, you will serve as the strategic architect of our Quality Management System (QMS), reporting directly to senior leadership. This is a high-impact role where you will safeguard our reputation by ensuring rigorous ISO compliance and HIPAA standards while driving transformative Six Sigma initiatives across our RCM operations. It is an exciting opportunity to lead a culture of excellence, directly influencing client confidence and operational efficiency in a fast-paced, high-growth healthcare environment.

What you’ll do

• • Own the Quality Framework: Design, implement, and govern the end-to-end Quality Management Framework tailored for US Healthcare and RCM operations.

  • Maintain ISO Excellence: Lead the certification and maintenance process for ISO 9001 to ensure global industry standards are met.

  • Drive Continuous Improvement: Execute Six Sigma and Lean projects to systematically reduce claim denials, rework, and turnaround times (TAT).

  • Lead Audits: Act as the primary lead for internal, external, and client-facing audits, ensuring high levels of audit readiness at all times.

  • Manage Governance: Oversee the CAPA (Corrective and Preventive Actions) process, Root Cause Analysis (RCA), and maintain comprehensive risk registers.

  • Monitor Performance: Establish and report on key quality KPIs, including Accuracy, Compliance, Productivity, and Defect Rates.

  • Cross-Functional Partnership: Collaborate with Operations, IT, HR, and Security teams to align quality goals with broader business objectives.

  • Ensure Compliance: Guarantee total alignment with HIPAA, PHI security protocols, and international data privacy standards.

  • Training & Mentorship: Conduct specialized quality training, review SOPs, and foster compliance awareness programs across the organization.

  • Strategic Vision: Define the long-term enterprise quality strategy and deliver high-level performance insights to the executive board.

Who you are

• • ISO Lead Auditor certification is mandatory.

  • Six Sigma Black Belt is mandatory.

  • 8–15+ years of experience in US Healthcare, RCM, BPM, or IT services.

  • Expertise in US Healthcare regulations and a proven track record of managing complex client audits.

  • Demonstrated leadership in driving large-scale quality transformation and process improvement initiatives.

  • Superior documentation skills with the ability to translate complex data into actionable executive reports.

  • Excellent communication skills with the ability to manage and influence diverse stakeholders.

  • Experience supporting US healthcare payers/providers (preferred).

  • Exposure to SOC, HIPAA, or healthcare compliance audits (preferred).

Benefits

• Stock-options package
• Health benefits include medical, dental and vision
• 401K
• Long-term disability
• Unlimited PTO
• Life insurance
• Paid Leave Program

👉[include as needed for clinic positions]

Location & Specialties hiring:

👉 [include as needed] Physical Demands: Mostly sedentary work duties require exerting up to thirty pounds of force occasionally and/or small amounts of force frequently. Sedentary work typically involves sitting most of the time but may involve walking or standing for brief periods. 

Toast is driven by building the all-in-one restaurant platform that helps restaurants operate their business, increase sales, engage guests, and keep employees happy.

Our People and Places team's ambition is that our People Experience is a key differentiator and reason for candidates to choose Toast and employees to stay at Toast, as much as our Products are today. Our People Products team goal is to amplify the People Team’s ambition by developing AI-powered conversational self-service products to deliver personalized employee experiences and insights in the flow of work through cloud based scalable, integrated, compliant products to unleash productivity and boost engagement of Toasters and possibly also ship to Toast customers.

We are seeking a Senior HRIS Analyst to join our People Products team reporting into the HCM Solutions Architect on the People Products team. In this critical role, you will be responsible for system configuration across various functional areas within Workday that power our employee experience and operational excellence, with the first big initiatives focused on Toast’s global expansion and supporting US payroll. You'll work closely with People, Finance, and IT stakeholders to build scalable and successfully adopted solutions.

A day in the life (Responsibilities)

• Serve as the subject matter expert across multiple areas of Workday, with specific focus on HCM, Configuration of modules like Benefits, Absence & Time tracking
• Collaborate with cross-functional teams (People Operations, Payroll, Total Rewards, IT etc.) to understand and improve business processes, providing Workday solutions that drive efficiency
• Lead end-to-end system configuration to support evolving business needs 
• Continuously identify opportunities for process efficiency and system improvements, adopting a product-driven mindset to optimize Workday
• Understand data flows, business processes and system usages between Workday and other systems (both internal and external)
• Drive major Workday releases, including comprehensive plan for adoption of new features and regression testing for impacts to existing configurations
• Collaborates with business leaders to design and build reports to assist in data analysis, trends, and strategic planning
• Ensures compliance with data protection regulations and collaborates with various departments to manage security configurations and access controls. 
• Evaluate requests for new products to determine alignment with existing Toast systems and overall systems strategy goals

What you'll need to thrive (Requirements)

• Experience in Benefits module in Workday is mandate.
  5+ years of hands-on configuration experience within Workday HCM, and 3+ years in at least one other functional area  (Benefits,  Absence & Time tracking etc.
• 5+ years of proven ability building and maintaining Workday HCM reporting
• Workday Certification in Workday HCM (preferred)
• Preferred a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree
• Understands how company systems are integrated within and outside of the HR organization
• Has worked in a highly matrixed, global organization 
• Experienced working in a SOX based environment and have been responsible for programs and processes that are SOX compliant
• End-to-end process understanding with an ability to develop and maintain processes, and HR service center procedures.
• Exceptional written and verbal communication skills and sound influential skills
• Project management experience with a demonstrated ability to effectively manage several objectives simultaneously while prioritizing and executing technology roadmap plans.
• Collaborative problem-solving approach; leverages relationships and strong business acumen to understand not only the “what” the “why” behind requests; displays empathy for partner teams
• Ability to multitask under pressure and thrive in a fast-paced environment; flexible and able to respond to rapidly changing business needs
• Education : Bachelors degree is mandatory

AI at Toast

At Toast we’re Hungry to Build and Learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things!  We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:

Honesty, Reliability, Curiosity, Collaboration, and Passio

IBM i and Expert Infrastructure Solution Architect

• Serving as a thought leader in IBM i and hybrid infrastructure solutions, leveraging deep expertise in:

  • IBM i (AS/400, iSeries) platform architecture, modernization, and operations

  • Traditional and hybrid infrastructure: data center, private cloud, and hosted environments

  • Managed Services including Backup & Recovery, High Availability, and Disaster Recovery

  • Professional Services and Consulting engagements for infrastructure transformation

  • Security and compliance frameworks tailored to IBM i and enterprise infrastructure

• Partnering with Business Development Executives to build a robust sales pipeline, co-leading strategic campaigns to secure new opportunities and exceed revenue goals

• Engaging directly with clients to understand business and technical requirements, aligning them with Ensono’s IBM i and infrastructure offerings to deliver differentiated, value-driven solutions backed by compelling financial business cases

• Establishing and nurturing relationships with key stakeholders such as CIOs, CTOs, Infrastructure VPs, and other decision-makers across target accounts

• Representing Ensono’s IBM i and infrastructure capabilities to both prospective and existing clients, setting realistic expectations and positioning Ensono as a trusted advisor

• Leading solution design efforts, including technical architecture, migration strategies, and modernization roadmaps for IBM i and broader infrastructure environments

• Driving proposal development, including RFP responses, Statements of Work, and solution presentations tailored to client needs

• Collaborating with Service Delivery and Engineering teams to ensure seamless pre- and post-sales support, including documentation, diagrams, and technical briefings

• Developing internal expertise on IBMi and infrastructure technologies, delivering ongoing technical training to Sales, Delivery, and Support teams

• Providing strategic insights to sales, marketing, operations, and product teams based on industry trends, client feedback, and competitive intelligence

• Achieving and surpassing performance targets related to opportunity support, deal closures, and internal enablement initiatives

Required Qualifications 

• A. /B.S. Degree is required (exceptions if offset by professional experience and track record)

• At least 5 years of enterprise sales experience in a pre-sale’s solution engineer or solutions architect role

• Cloud certifications in either AWS, Azure, or Google Cloud

• Hands on Skills:

  • Knowledgeable in AS/400

  • Private Cloud

Preferred Qualifications

• Proven experience in scoping, sizing, and solutioning IBM i and infrastructure services in professional services engagements with enterprise clients

• Hands-on operational experience in delivering and managing IBM i environments, hybrid infrastructure solutions, and professional services offerings

• Demonstrated success in selling IBM i and infrastructure managed services into Fortune 2000 accounts as the technical sales lead

• Strong technical and financial acumen in developing pricing models for infrastructure modernization, IBM i migration, and managed services

• Deep understanding of IBM i architecture, LPARs, Power Systems, and integration with broader infrastructure ecosystems (Windows, Linux, cloud-hosted environments)

• Significant experience in designing high availability, distributed infrastructure solutions, including hybrid cloud, private cloud, and hosted data center models

• Familiarity with Professional Services and Consulting engagements, including assessments, migrations, and modernization roadmaps for legacy platforms

• Ability to develop a deep understanding of industry trends, competitive offerings, and evolving client needs in the infrastructure and IBM i space

• Solid grasp of competitive landscape in infrastructure and IBM i managed services, with the ability to position Ensono’s offerings effectively

• Proven ability to build and maintain executive-level relationships across IT, Infrastructure, Finance, and other key decision-making functions

• Track record of managing multiple concurrent opportunities across diverse business units and collaborating with Business Development Executives

• Strong research and industry insight skills to support consultative selling and align infrastructure solutions with clients’ strategic business priorities

• Demonstrated success in both new logo acquisition and account expansion within existing IBM i and infrastructure client portfolios

• Understanding of target industries such as manufacturing, retail, healthcare, financial services, and solution areas including:

  • IBM i modernization and hosting

  • Data center consolidation and migration

  • Backup, HA/DR, and security services

  • Hybrid cloud enablement and infrastructure automation

  • Networking, virtualization, and systems administration

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

Job Description

We are seeking a Staff Backend Engineer to design and build scalable, AI-native backend services that power customer intelligence, campaign orchestration, and attribution at automotive retail scale. This role is the critical technical anchor — defining hexagonal architecture patterns, owning service boundaries, driving AI integration patterns, and setting the engineering bar for the entire team.

Key Responsibilities

 • Architect Java (Spring Boot 3.x) microservices using hexagonal architecture — defining clean domain cores, port interfaces for persistence (MongoDB, PostgreSQL, Cosmos DB), and adapter implementations for Kafka, Elasticsearch, Redis/Aerospike, and external APIs.

• Own core domain models and service boundaries end-to-end: from initial hexagonal design through production operation, Kafka event contracts, and iterative enhancement.

• Build scalable, secure REST APIs and robust Kafka-based event-driven pipelines that consume and produce events across multiple source systems. 

• Design MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant workloads — with deep attention to indexing strategy, TTL, and tenant isolation patterns.

• Design Cosmos DB data models for high-throughput event and state storage — partition key strategy, consistency levels, and TTL configuration. 

• Design and implement durable campaign execution workflows using Temporal. 

• Establish and own AI-native integration patterns: MCP tool registration, scoring model serving contracts, LLM gateway integration, and agentic workflow design.

• Identify and resolve performance bottlenecks across services, Kafka pipelines, data layers, and Elasticsearch query performance. 

• Ensure all systems meet reliability, scalability, and observability standards.

• Mentor senior, mid-level, and junior engineers — setting and consistently raising the engineering bar.

Skills & Qualifications

• 8+ years of backend engineering experience with a strong track record delivering production-grade Java systems.

• Deep expertise in hexagonal architecture (ports & adapters) — proven ability to design domain cores fully decoupled from infrastructure layers.

• Strong Java 21 and Spring Boot 3.x expertise with event-driven, microservices-first design. 

• Strong experience with Kafka — consumer groups, partition design, offset management, idempotent consumers, and event-driven service integration.

• Proven experience with MongoDB: document schema design, indexing, aggregation pipelines, and multi tenant isolation patterns.

• Strong PostgreSQL experience: complex schema design, query optimization, migration management.

• Experience with Cosmos DB or equivalent globally distributed key-value stores: partition key design, consistency tuning, high-throughput read/write patterns.

• Solid experience with Elasticsearch: index design, search query optimization, relevance tuning.

• Experience with Redis or Aerospike for high-throughput caching and session/state management.

• Strong understanding of distributed systems: service boundaries, data consistency, idempotency, retries, and circuit breaking on AWS (EKS, MSK).

Preferred Skills

• Experience with Temporal for durable workflow orchestration. 

• Familiarity with MCP tool registration patterns and agentic platform integration.

• Working knowledge of Python for AI/ML pipeline integration (scoring models, feature serving, LLM gateway patterns).

• Prior experience building data platforms, real-time analytics systems, or AI-native SaaS products.

Perks & Benefits 

• Competitive compensation and generous stock options.

• Medical insurance coverage.

• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Role Overview

We are seeking a Principal Applied Scientist to be the highest-level AI technical authority on the team. This role is above the Applied Scientist level — you set the AI research and engineering direction, own the agentic system architecture, define the eval framework standards, and operate as the primary interface to the external AI research community and internal platform AI leadership. You will combine deep research rigor with relentless production focus: every AI capability you design ships, gets measured, and improves based on evidence.

You are the person who answers: "Is this AI approach the right one, and how do we know when it's working"

Key Responsibilities

• Own the agentic system architecture: define the multi-agent coordination patterns, MCP tool taxonomy, intent-to-skill routing logic, policy enforcement design, and memory management strategy across all AI workflows on the platform.
• Lead the AI evaluation framework: design the golden dataset structure, define eval metrics (RAG retrieval quality, scoring accuracy, LLM response correctness, agentic workflow success rate), and own the CI/CD AI eval pipeline that gates every AI capability release.
• Drive the RAG architecture strategy: chunking strategies for MongoDB and Elasticsearch-indexed documents, embedding model selection and fine-tuning, retrieval reranking design, and hallucination mitigation patterns.
• Own the LLM integration architecture: prompt engineering standards, LLM gateway usage policies, context window management, streaming response patterns, and model version governance.
• Lead applied research initiatives: identify novel techniques (RLHF, Constitutional AI, multi-modal, sparse retrieval) that are practically applicable to automotive retail intelligence use cases and prototype them rigorously in Python.
• Define the hexagonal AI adapter contract standard: the formal interface specification between Python AI services and Java domain cores — ensuring AI infrastructure remains swappable without domain logic changes.
• Act as primary technical interface to platform AI leadership (LLM Gateway, ML Platform, Agentic Engine) — influencing platform roadmap based on teams practical requirements.
• Mentor the Applied Scientist and ML Architect; conduct technical reviews of AI system designs, eval frameworks, and research approaches.
• Publish, present, or contribute to open-source where appropriate — representing Tekion's AI engineering excellence externally.

Skills & Qualifications

• 10+ years of applied AI/ML experience with at least 3 years at Staff or Principal level — a track record of shipping AI systems that measurably changed business outcomes.
• Deep expertise across: LLM fine-tuning and alignment, RAG system design (chunking, embedding, retrieval, reranking), agentic frameworks (LangGraph, CrewAI, AutoGen), and MCP tool design.
• Python mastery: PyTorch, Hugging Face Transformers, LangChain/LangGraph, scikit-learn, and production ML serving tooling.
• Strong understanding of distributed AI systems: Elasticsearch-backed vector search, Redis/Aerospike serving, Cosmos DB for AI event logging, and Kafka-based feature pipelines.
• Proven ability to design formal eval frameworks for AI systems — not just accuracy metrics but business aligned quality gates.
• Experience defining and enforcing hexagonal adapter contracts between AI services and domain service layers in production systems.
• Track record of communicating complex AI system design to non-technical stakeholders, influencing product roadmaps, and driving cross-team alignment. 

Good to Have

• Publications or significant open-source contributions in NLP, information retrieval, or agentic systems.
• Experience with Constitutional AI, RLAIF, or preference optimization techniques (DPO, PPO).
• Familiarity with multi-modal AI and its application to automotive retail data (images, documents, tabular data fusion).
• Prior experience in a product-focused AI role at a SaaS or platform company — not purely research. 

Perks & Benefits

• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Systems Programmer, Hardware Configuration - Senior Solution Delivery Architect, MF Hardware

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. 

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose. 

HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION 

Position Summary  

As the Senior Solution Delivery Architect, you will be responsible for configuration of mainframe hardware equipment such as HCD, IOGEN and IOCP.  During new client migrations, you will be the point person for configuring client environments within Ensono data centers to mimic existing client environment. You will serve as an escalation point for mainframe hardware issues such as failed Tape Drives, offline devices, and Call Home.  You will be responsible for coordinating and applying hardware MES’s.  To support hardware lifecycle activities, you will be responsible for upgrading existing client’s hardware including Mainframe CPU’s, DASD and Tape. 

What You Will Do:

• Define (GEN) mainframe equipment to be connected to Mainframe CPU
• Support existing mainframe equipment for functionality, break/fix, and upgrades
• Evaluate client systems for migrating into Ensono data centers
• Evaluate proposed solutions for supportability

What You Will Need:

• 7 years experience working within a z/OS environment supporting Tape, DASD, CPU, and other mainframe hardware equipment. 
• Experience creating HCD and IOCP for zOS, zVM, and zVSE in a complex, geographically dispersed multi data center environment. 
• Be able to support multiple client hardware upgrades and data center migrations. 
• Senior level familiarity with Z Series HMC and support element.  
• Ability to lead new customer hardware migrations and current client hardware upgrades with little direction.  
• Above average understanding of the network connectivity requirements for the mainframe, DASD and Tape subsystem HMCs. 
• Ability to interact with account management and project managers. 
• Experience interacting with vendors and geographically disperse Data Center support staff and implementation teams. 
• Strong analytical, problem definition, and problem resolution skills. 
• Able to follow multiple ITSM processes and procedures.  Good familiarity with Excel, Visio and MS Project or their equivalent. 
• Ability to evaluate proposed architecture for supportability prior to sharing with clients. 
• The successful candidate will be able to design hardware solutions to meet client and business requirements. 
• Above average knowledge of the z/OS operating system.  
• Familiarity with tape and DASD replication methodologies for various mainframe vendors. 
• Build and maintain mainframe DR configurations for multiple clients at multiple different Recovery Facilities. 
• Participate in Disaster Recovery Tests. 
• Familiarity with data encryption technologies on the mainframe. 
• Familiarity with Putty. 
• Ability to mentor and train Jr. Hardware Configuration team members 
• Knowledge of z/VM or z/Linux considered a plus. 

Why Ensono? 

Ensono is a place we unleash Associates to Do Great Things – for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.  

• We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
• Unlimited Paid Day Off (PDO) Plan
• Two robust health plan options through Blue Cross Blue Shield
• 401(k) with a generous company match
• Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
• Wellness program
• Flexible work schedule

Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.  

Ensono’s Cloud Consultancy team is expanding to meet increasing client demand for complex, high-value cloud transformation projects, ranging from traditional lift-and-shift migrations to advanced platform modernization (VM to PaaS or serverless). We are seeking Consultants to join our AWS team, delivering thought leadership and high-quality migration solutions for enterprise clients leveraging AWS public cloud.

We are looking for an AWS Migration Engineer / Consultant to support the migration of workloads to AWS cloud environments. You will work closely with senior architects, clients, and delivery teams to execute migration projects, deploy AWS services, implement automation, and ensure smooth transitions from on‑premises to cloud.

This role is suitable for someone with extensive hands-on AWS migration experience.

Key Responsibilities

Migration & Deployment

• Support migration projects involving servers, applications, and databases from on‑premises or private cloud to AWS.
• Participate in assessment, discovery, planning, cutover, and post‑migration optimization.
• Execute re-hosting and re-platforming activities using AWS migration tools (Application Migration Service, DMS, Migration Hub, App2Container).
• Deploy, configure, and validate AWS services and infrastructure components.

Cloud Engineering & Automation

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Contribute to CI/CD pipelines for IaC and application deployments.
• Support creation and maintenance of reusable Terraform modules and automation scripts.
• Assist in enforcing quality and security checks (tflint, Checkov, tfsec).

Operational Support & Troubleshooting

• Assist in integration, testing, and troubleshooting of AWS workloads.
• Monitor environments using CloudWatch, X-Ray, Config, and related tools.
• Support optimization efforts for cost, performance, and security.

Documentation & Collaboration

• Prepare technical documentation, runbooks, and migration playbooks.
• Participate in client workshops and provide technical inputs when required.
• Collaborate with global delivery teams and follow established cloud best practices.
• Engage in internal learning, certifications, and capability-building initiatives.

Technical Requirements

Cloud & AWS Knowledge

• Working experience with core AWS services (EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS basics).
• Understanding of AWS multi-account management, Organizations, and Control Tower (preferred).

Migration Tools & Methods

• Familiarity with at least one AWS migration tool:
• Application Migration Service
• Database Migration Service (DMS)
• Migration Hub
• App2Container
• Understanding of migration approaches (re-host, re-platform, refactor basics).

Infrastructure as Code & Automation

• Hands-on experience with Terraform or CloudFormation.
• Basic knowledge of CI/CD concepts and tools (GitHub Actions, CodePipeline, Jenkins).
• Scripting proficiency in Python, Bash, or PowerShell.

Containers & Modernization (Nice to Have)

• Exposure to Docker, Kubernetes (EKS), or AWS serverless services like Lambda.
• Monitoring, Security & Governance
• Understanding of AWS monitoring and security tools (CloudWatch, Config, GuardDuty).
• Awareness of IAM best practices and least privilege principles.

Non-Technical Requirements

• Strong problem-solving and analytical skills.
• Good communication skills with the ability to interact with clients and team members.
• Self-driven, eager to learn, and capable of working collaboratively in global teams.
• Organized and able to handle multiple tasks in fast-paced environments.
• High integrity, professionalism, and attention to detail.

Industry Qualifications:

• 5+ years in technology consulting leadership roles.
• 4+ years in AWS technology planning and implementation, with a track record of leading large-scale AWS projects.
• Bachelor’s Degree (BE) in a related field required; Master’s Degree preferred.

Certifications:

• AWS Solutions Architect –Professional
• AWS DevOps Engineer – Associate / Professional
• HashiCorp Terraform Associate

"We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request."

ABOUT US

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com.

Job Summary:
Ensono’s Cloud Consultancy team is expanding to meet increasing client demand for complex, high-value cloud transformation projects, ranging from traditional lift-and-shift migrations to advanced platform modernization (VM to PaaS or serverless). We are seeking Consultants to join our AWS team, delivering thought leadership and high-quality migration solutions for enterprise clients leveraging AWS public cloud.

We are looking for an AWS Migration Engineer / Consultant to support the migration of workloads to AWS cloud environments. You will work closely with senior architects, clients, and delivery teams to execute migration projects, deploy AWS services, implement automation, and ensure smooth transitions from on‑premises to cloud.

This role is suitable for someone with extensive hands-on AWS migration experience.

Key Responsibilities

Migration & Deployment

• Support migration projects involving servers, applications, and databases from on‑premises or private cloud to AWS.
• Participate in assessment, discovery, planning, cutover, and post‑migration optimization.
• Execute re-hosting and re-platforming activities using AWS migration tools (Application Migration Service, DMS, Migration Hub, App2Container).
• Deploy, configure, and validate AWS services and infrastructure components.

Cloud Engineering & Automation

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Contribute to CI/CD pipelines for IaC and application deployments.
• Support creation and maintenance of reusable Terraform modules and automation scripts.
• Assist in enforcing quality and security checks (tflint, Checkov, tfsec).

Operational Support & Troubleshooting

• Assist in integration, testing, and troubleshooting of AWS workloads.
• Monitor environments using CloudWatch, X-Ray, Config, and related tools.
• Support optimization efforts for cost, performance, and security.

Documentation & Collaboration

• Prepare technical documentation, runbooks, and migration playbooks.
• Participate in client workshops and provide technical inputs when required.
• Collaborate with global delivery teams and follow established cloud best practices.
• Engage in internal learning, certifications, and capability-building initiatives.

Technical Requirements

Cloud & AWS Knowledge

• Working experience with core AWS services (EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS basics).
• Understanding of AWS multi-account management, Organizations, and Control Tower (preferred).

Migration Tools & Methods

• Familiarity with at least one AWS migration tool:
• Application Migration Service
• Database Migration Service (DMS)
• Migration Hub
• App2Container
• Understanding of migration approaches (re-host, re-platform, refactor basics).

Infrastructure as Code & Automation

• Hands-on experience with Terraform or CloudFormation.
• Basic knowledge of CI/CD concepts and tools (GitHub Actions, CodePipeline, Jenkins).
• Scripting proficiency in Python, Bash, or PowerShell.

Containers & Modernization (Nice to Have)

• Exposure to Docker, Kubernetes (EKS), or AWS serverless services like Lambda.
• Monitoring, Security & Governance
• Understanding of AWS monitoring and security tools (CloudWatch, Config, GuardDuty).
• Awareness of IAM best practices and least privilege principles.

Non-Technical Requirements

• Strong problem-solving and analytical skills.
• Good communication skills with the ability to interact with clients and team members.
• Self-driven, eager to learn, and capable of working collaboratively in global teams.
• Organized and able to handle multiple tasks in fast-paced environments.
• High integrity, professionalism, and attention to detail.

Industry Qualifications:

• 5+ years in technology consulting leadership roles.
• 4+ years in AWS technology planning and implementation, with a track record of leading large-scale AWS projects.
• Bachelor’s Degree (BE) in a related field required; Master’s Degree preferred.

Certifications:

• AWS Solutions Architect –Professional
• AWS DevOps Engineer – Associate / Professional
• HashiCorp Terraform Associate

Shift Timing

1:30 PM to 10:30 PM and 5:30 PM to 2:00 AM(Flexible to work in both the shift)

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request

ABOUT US

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com.

Job Summary:
Ensono’s Cloud Consultancy team is expanding to meet increasing client demand for complex, high-value cloud transformation projects, ranging from traditional lift-and-shift migrations to advanced platform modernization (VM to PaaS or serverless). We are seeking Consultants to join our AWS team, delivering thought leadership and high-quality migration solutions for enterprise clients leveraging AWS public cloud.

We are looking for an AWS Migration Engineer / Consultant to support the migration of workloads to AWS cloud environments. You will work closely with senior architects, clients, and delivery teams to execute migration projects, deploy AWS services, implement automation, and ensure smooth transitions from on‑premises to cloud.

This role is suitable for someone with extensive hands-on AWS migration experience.

Key Responsibilities

Migration & Deployment

• Support migration projects involving servers, applications, and databases from on‑premises or private cloud to AWS.
• Participate in assessment, discovery, planning, cutover, and post‑migration optimization.
• Execute re-hosting and re-platforming activities using AWS migration tools (Application Migration Service, DMS, Migration Hub, App2Container).
• Deploy, configure, and validate AWS services and infrastructure components.

Cloud Engineering & Automation

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Contribute to CI/CD pipelines for IaC and application deployments.
• Support creation and maintenance of reusable Terraform modules and automation scripts.
• Assist in enforcing quality and security checks (tflint, Checkov, tfsec).

Operational Support & Troubleshooting

• Assist in integration, testing, and troubleshooting of AWS workloads.
• Monitor environments using CloudWatch, X-Ray, Config, and related tools.
• Support optimization efforts for cost, performance, and security.

Documentation & Collaboration

• Prepare technical documentation, runbooks, and migration playbooks.
• Participate in client workshops and provide technical inputs when required.
• Collaborate with global delivery teams and follow established cloud best practices.
• Engage in internal learning, certifications, and capability-building initiatives.

Technical Requirements

Cloud & AWS Knowledge

• Working experience with core AWS services (EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS basics).
• Understanding of AWS multi-account management, Organizations, and Control Tower (preferred).

Migration Tools & Methods

• Familiarity with at least one AWS migration tool:
• Application Migration Service
• Database Migration Service (DMS)
• Migration Hub
• App2Container
• Understanding of migration approaches (re-host, re-platform, refactor basics).

Infrastructure as Code & Automation

• Hands-on experience with Terraform or CloudFormation.
• Basic knowledge of CI/CD concepts and tools (GitHub Actions, CodePipeline, Jenkins).
• Scripting proficiency in Python, Bash, or PowerShell.

Containers & Modernization (Nice to Have)

• Exposure to Docker, Kubernetes (EKS), or AWS serverless services like Lambda.
• Monitoring, Security & Governance
• Understanding of AWS monitoring and security tools (CloudWatch, Config, GuardDuty).
• Awareness of IAM best practices and least privilege principles.

Non-Technical Requirements

• Strong problem-solving and analytical skills.
• Good communication skills with the ability to interact with clients and team members.
• Self-driven, eager to learn, and capable of working collaboratively in global teams.
• Organized and able to handle multiple tasks in fast-paced environments.
• High integrity, professionalism, and attention to detail.

Industry Qualifications:

• 5+ years in technology consulting leadership roles.
• 4+ years in AWS technology planning and implementation, with a track record of leading large-scale AWS projects.
• Bachelor’s Degree (BE) in a related field required; Master’s Degree preferred.

Certifications:

• AWS Solutions Architect –Professional
• AWS DevOps Engineer – Associate / Professional
• HashiCorp Terraform Associate

Shift Timing

1:30 PM to 10:30 PM and 5:30 PM to 2:00 AM(Flexible to work in both the shift)

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request

Senior Certinia Professional Services (PSA) Cloud Administrator – India

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud customer experience software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our people- and team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together.

To support our continued growth, we are seeking a Senior Certinia PSA Cloud Administrator to join our Business Technology Applications Delivery team. This senior role will be the technical owner and primary hands‑on admin for our mission‑critical Professional Services Automation (PSA) and Customer Success solutions built on Salesforce and Certinia (FinancialForce).

The ideal candidate combines deep solution mindset with advanced PSA Administration skills and Salesforce Admin skills and has a strong track record building scalable solutions for high‑growth SaaS organizations.

 Key Responsibilities

• Serve as the lead developer for PS Cloud initiatives, guiding solution design, defining technical standards, and partnering with business stakeholders to translate requirements into scalable solutions.
• Hands-on experience in Certinia PSA configuration in configuring project, milestones, resource scheduling, time/expense, billing, and revenue forecasting.
• Experience with Salesforce Flows, user role, field level security, automation rules, and reporting dashboards.
• Maintain and govern PSA system data, ensuring accuracy in project records, resource allocations, and time tracking.
• Possesses deep, hands-on implementation and configuration of core Certinia PSA modules, including projects, milestones, resource requests, assignments, and timecards. Drive continuous improvement of our PSA solution.
• Leverage deep knowledge of the PSA data model, object relationships, and end-to-end services processes to architect and implement effective solutions.
• Stay current with Certinia platform releases and proactively recommend the adoption of new features (e.g., Workspaces, Work Planner, Intelligent Staffing, Forecasting).
• Utilize strong debugging, problem-solving, and analytical skills to resolve technical issues and maintain platform health.
• Act as the primary point of contact for PSA-related questions, escalations, enhancements, and training.

• Partner closely with Professional Services, Customer Success, and RevOps leaders to translate strategic business goals into scalable technical solutions.
• Support UAT and change management activities for features and processes implemented.

Key Requirements:

• Bachelor’s/master’s degree in computer science, Information Science, or related technical field (or equivalent experience).
• 5+ years of progressive experience on the Salesforce platform as Senior Consultant, or Senior Admin roles.
• 3+ years of hands‑on Certinia (FinancialForce) experience, focused on PS Cloud (PSA); Customer Success experience strongly preferred.
• PSA System Administration certification is required.
• Salesforce Advanced Admin certification required.
• Lead solution design and development across Salesforce and Certinia PS Cloud
• Deep familiarity with PSA concepts (project financials, utilization, revenue, time & expense) in a SaaS or services context.
• Strong analytical, problem‑solving, and troubleshooting skills with a focus on performance, scalability, and maintainability.
• Excellent communication skills; able to explain technical designs and trade‑offs to both technical and business stakeholders.
• Experience working in Agile or iterative delivery environments is preferred.
• PSA implementation experience is preferred.

Why You’ll Love This Role:

• You’ll be the senior authority for our Certinia PSA and Customer Success stack, directly shaping how we operate and scale our global services business.
• You’ll own both solution and hands‑on delivery, leading key design decisions while still writing the critical pieces of code and integration logic.
• You’ll collaborate with senior leaders across Professional Services, Success, and RevOps, with clear visibility into how your work impacts margins, utilization, and customer outcomes.

Role Overview

We are seeking a Staff Technical Program Manager to own the cross-team delivery machinery for a 20-person AI native engineering organization. This is not a project coordination role — it is a technical program ownership role.  You will maintain the master delivery plan across two Scrum teams and shared resources, track and resolve  
cross-team dependencies (platform teams, ARC backend, OEM integrations), manage risk before it becomes a miss, and create the delivery transparency that allows Engineering, Product, and Executive leadership to make fast, informed decisions. The best TPMs are invisible when things go well and indispensable when they don't. 

Key Responsibilities 

• Own the master delivery plan: maintain the integrated roadmap across both Scrum teams, shared resources (Architect, ML, SDET), and external platform dependencies — with milestone-level clarity at all times.  
• Track and resolve cross-team dependencies: Agentic Engine, Core Platform (Temporal, MCP Gateway, Component Framework), ARC backend (Kafka event contracts, API dependencies), Design (component specs), and external vendors (email/SMS providers).  
• Run the delivery rhythm: sprint review calendar, cross-team sync cadence, dependency review meetings, and risk escalation forums — keeping the Director and VP Engineering informed without burying them in status updates.  
• Identify, quantify, and manage delivery risks: surface blockers early, drive resolution with urgency, and maintain a live risk register with mitigation owners and timelines.  
• Own cross-team technical communication: translate engineering status into language that Product, Business, and Executive stakeholders can act on — and translate business urgency back into engineering trade-off decisions.  
• Drive the release process: define release criteria, coordinate go/no-go decisions with Engineering, QA (Staff SDET), and Product, and manage production deployments across services.  
• Manage the dependency interface to the T1 Agentic Engine team: track which Intent, Skill, Policy, and MCP tool registrations are ready, which are blocked, and what the critical path impact is.  
• Continuously improve the delivery system: identify bottlenecks in the engineering process, drive retrospectives, and implement changes that sustainably increase throughput and quality.

Skills & Qualifications 

• 12+ years of technical program management experience, with at least 3 years at Staff level managing multi team programs at SaaS or platform companies.  
• Strong technical depth: able to read architecture diagrams, understand Kafka dependency graphs, evaluate API contract blockers, and participate credibly in engineering design discussions.  
• Proven experience managing complex, multi-team delivery programs with many external dependencies — including platform dependencies outside your direct control.  
• Expert facilitation of engineering delivery rituals: sprint planning, dependency reviews, release gates, post mortems, and architecture syncs.  
• Deep understanding of AI-native product delivery: what makes AI system delivery different from traditional software (eval requirements, model versioning, non-deterministic outputs, golden dataset dependencies).  
• Excellent written communication: can produce a crisp, executive-readable status update that tells the truth clearly and drives decisions.  
• Strong stakeholder management across Engineering, Product, Design, and Executive levels — comfortable managing up, across, and down.  

 
Good to Have  

• Experience managing delivery programs that involve both Java microservices and Python AI/ML engineering teams simultaneously.  
• Familiarity with agentic AI platform concepts: intent registries, MCP tools, skill/policy authoring, and eval frameworks — enough to track technical dependency status accurately.  
• Background in automotive retail technology or dealer management systems.  
• Prior experience working in a US-India distributed engineering organization.  
 

Job Description : 

• 10+ years in Software / Data / ML engineering, including 3+ years in AI/ML, and 2+ years specifically in LLM / GenAI projects.
• Proven experience as a Tech Lead / Architect leading engineering teams or projects.
• Deep hands-on experience with: LLM APIs (OpenAI, Azure OpenAI, or equivalent).
• RAG architectures, embeddings, and vector databases (e.g., Pinecone, FAISS, Chroma, Qdrant, Azure AI Search).
• One or more orchestration frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework, LangGraph, Copilot Studio, etc.)..
• Strong Python skills (plus experience with Node.js / C# is a bonus).
• Experience building cloud-based backend services (FastAPI, Flask, .NET, Node) and integrating with enterprise systems.
• Excellent communication skills and a track record of making architecture decisions and driving them to execution.
• Experience in Azure or AWS or GCP (GenAI Services)

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Job Description: 

• 10+ years in Software / Data / ML engineering, including 3+ years in AI/ML, and 2+ years specifically in LLM / GenAI projects.
• Proven experience as a Tech Lead / Architect leading engineering teams or projects.
• Deep hands-on experience with: LLM APIs (OpenAI, Azure OpenAI, or equivalent).
• RAG architectures, embeddings, and vector databases (e.g., Pinecone, FAISS, Chroma, Qdrant, Azure AI Search).
• One or more orchestration frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework, LangGraph, Copilot Studio, etc.)..
• Strong Python skills (plus experience with Node.js / C# is a bonus).
• Experience building cloud-based backend services (FastAPI, Flask, .NET, Node) and integrating with enterprise systems.
• Excellent communication skills and a track record of making architecture decisions and driving them to execution.
• Experience in Azure or AWS or GCP (GenAI Services)

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. 

This role combines experienced product management leadership with the pivotal responsibilities of a Group Product Lead, offering an opportunity to shape the product strategy and the missions of several teams. You will oversee the product management execution working closely with the product managers for several cross-functional software engineering teams around the world. This position reports to the Head of Product for the Platform Engineering Strategic Business Unit, which is responsible for Appian Cloud offering.

An excellent candidate will come with a wide range of experience in a product leadership role in the cloud infrastructure domain at a software-as-a-service firm. The product portfolio owned by this position will cover a wide range of cloud native infrastructure and services – from the highly available, resilient, scalable, and efficient infrastructure components on which all Appian Cloud services operate to the the scalable, enterprise-grade managed services that power the backend data persistence and event streams for customer sites in Appian Cloud. You will provide product management leadership for initiatives that deliver efficient and scalable infrastructure, core compute capacity, and managed data planes as multi-tenant services to accelerate the innovations of Engineering teams throughout the department. Your portfolio will include aspects that intersect with AWS account and VPC topology, Kubernetes clusters, network mesh, and edge web layer, as well as efforts to transform existing systems and software components into cloud-native, Kubernetes-based and multi-tenant managed services while achieving incremental value for our customers from intermediate milestones.  

You'll form strong relationships with counterparts within the Engineering department as well as stakeholders in other departments. You will oversee the creation of an impactful vision and ensure alignment between the product managers in your group and the roadmaps of the feature teams that rely on the services and frameworks provided by your organization. You will be accountable for the business impact of the features your group delivers. This includes owning the product strategy and feature backlog and ensuring effectiveness and adherence to standard product management processes. 

This position is based at our office in Chennai, India. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. This role will be 5 days office based from 11th Floor, Tower B, Brigade World Trade Center, Chennai.

What you'll do:

• Oversee the initiation, planning, execution, and rollout for strategic initiatives.
• Lead the creation and ongoing maintenance of a multi-team, short-term and long-term feature backlogs strongly aligned to product and corporate vision.  
• Initiate and facilitate conversations across business units and departments to reach alignment on strategy, roadmap, key investments and messaging.  
• Build relationships with key business stakeholders, keeping them apprised of important features, critical scope changes, planned investments.
• Help identify and cultivate the next generation of product management leaders.
• Provide constructive feedback on feature specifications to ensure new feature delivery provides optimal impact.
• Coach product managers on balancing functional and non-functional enhancements and 
  system improvements.
• Continuously enhance and improve the product management processes and techniques at Appian.

About you:

• Strong technical background, likely as a former software architect or developer who later became a product manager.
• Proven people management skills in guiding product managers to success.
• Passion for the backend and infrastructure technologies that power cloud-based enterprise software systems, including proprietary, open-source, and industry-standard 
  components, especially those in the Cloud Native Computing Foundation landscape.
• Experience with cloud native technologies and Kubernetes. An especially strong candidate will have previous exposure to the infrastructure behind Software-as-a-Service 
  cloud product offerings.
• Understanding of networking and cross-VPC connectivity and the security and compliance requirements that apply to such systems with respect to enterprise 
  customers. Previous experience with zero trust connectivity implementations would be a strong asset.
• Understanding of data persistence, object storage services, event streaming platforms, multi-tenant shared services, and the security and compliance requirements that apply 
  to such systems with respect to enterprise customers.
• Experience delivering cloud infrastructure features built using AWS services such as EKS, ECR, transit gateways, WAFs, and Global Accelerator (or similar offering from 
  other cloud providers).
• Strong interest in the scalability, performance, security, observability, and reliability of distributed systems.
• Excellent communication skills, comfortable talking high-level strategy with CxOs in the morning and feature details with developers in the afternoon.

The Mission

As a Lead Software Engineer working on the Appian platform, your mission is to be the technical anchor for our most ambitious engineering initiatives. You will ensure Appian is always fast, scalable, and resilient, regardless of the complexity our customers demand. While a Senior Engineer focuses on feature health, you are focused on platform evolution.

You will lead the design and orchestration of high-stakes systems, integrating cutting-edge AI into the core fabric of our product. This role demands a balance of elite coding mastery, visionary system architecture, and the ability to align technical roadmaps with Appian's overarching business strategy.

Key Responsibilities

The Lead Software Engineer isn't just "the best coder"—they are the architect of the team’s success and the guardian of our technical future.

• Technical Strategy & Roadmap: Work alongside Product Leadership to transform long-term business goals into scalable technical milestones. You don't just build features; you define the technical "North Star."
• Advanced Architecture: Lead the design of distributed, event-driven, and cloud-native systems. You are responsible for making high-level decisions on system boundaries, data consistency, and integration patterns.
• AI Orchestration & Innovation: Drive the adoption of AI-native engineering and an AI-native culture within the team. This includes using AI tools to improve developer productivity and implementing AI features into the platform to make the Appian platform more intelligent and autonomous.
• Architectural Governance: Set and enforce the "gold standard" for system design and code quality. You ensure that the codebase remains modular, maintainable, and free of crippling technical debt.
• Developer Multiplier: Create the "Golden Paths" and internal frameworks that empower other engineering teams to ship faster. You build the tools that make every other engineer more productive.
• High-Stakes Problem Solving: Act as the final escalation point for the "un-debuggable." You lead the resolution of critical production outages and architect long-term fixes for deep-seated performance bottlenecks.
• Mentorship & Influence: Cultivate a culture of excellence. You mentor Senior Engineers into future Leads and foster a high-growth environment through rigorous design reviews and technical coaching.

Required Qualifications

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Educational background from a highly selective, premier engineering institution with a focus on Computer Science fundamentals is preferred

Experience:

• 10+ years of professional software engineering experience.
• Strong understanding of data structures, algorithms, design patterns, object-oriented as well as functional programming.
• Proven track record of leading technical initiatives from conception to global production deployment.
• Deep expertise in Java & modern web technologies, with a mastery of data structures, algorithms, and complex design patterns.
• Extensive experience building and scaling distributed systems in AWS cloud-native environments and modernization of applications/platforms.
• Strong knowledge of enterprise application architecture.
• Experience managing "large-scale" codebases where performance optimization and bottleneck identification are critical.
• Experience in AI/ML integration, specifically implementing intelligent features like RAG or agentic workflows into enterprise software is preferred.
  Experience with using AI tools and models like Amazon Q, Kiro, Claude is preferred.

Technical Skills:

• Full-Stack Authority: Expert-level proficiency in Java or similar major languages.
• Infrastructure & Orchestration: Hands-on experience with Docker, Kubernetes, and advanced CI/CD automation.
• Observability: Deep familiarity with performance monitoring and alerting stacks (e.g., Grafana, Prometheus, ELK).
• Cloud & Data: Strong experience with AWS services and modern database technologies (Relational, NoSQL, and Vector databases).
• Security & Compliance: Strong understanding of enterprise-grade security, including OAuth2, OIDC, and data encryption at rest/transit.

Soft Skills

• Strategic Communication: The ability to influence stakeholders and explain the "why" behind complex technical trade-offs in terms of business value.
• Systems Thinking: The ability to see how a change in one microservice ripples across the entire ecosystem.
• Radical Accountability: A bias for action and a sense of ownership over the entire platform’s stability and success.
• Mentorship: A genuine passion for leveling up the collective intelligence of the engineering organization.

#LI-EC1 

The Mission

As a Lead Software Engineer working on the Appian platform, your mission is to be the technical anchor for our most ambitious engineering initiatives. You will ensure Appian is always fast, scalable, and resilient, regardless of the complexity our customers demand. While a Senior Engineer focuses on feature health, you are focused on platform evolution.

You will lead the design and orchestration of high-stakes systems, integrating cutting-edge AI into the core fabric of our product. This role demands a balance of elite coding mastery, visionary system architecture, and the ability to align technical roadmaps with Appian's overarching business strategy.

Key Responsibilities

The Lead Software Engineer isn't just "the best coder"—they are the architect of the team’s success and the guardian of our technical future.

• Technical Strategy & Roadmap: Work alongside Product Leadership to transform long-term business goals into scalable technical milestones. You don't just build features; you define the technical "North Star."
• Advanced Architecture: Lead the design of distributed, event-driven, and cloud-native systems. You are responsible for making high-level decisions on system boundaries, data consistency, and integration patterns.
• AI Orchestration & Innovation: Drive the adoption of AI-native engineering and an AI-native culture within the team. This includes using AI tools to improve developer productivity and implementing AI features into the platform to make the Appian platform more intelligent and autonomous.
• Architectural Governance: Set and enforce the "gold standard" for system design and code quality. You ensure that the codebase remains modular, maintainable, and free of crippling technical debt.
• Developer Multiplier: Create the "Golden Paths" and internal frameworks that empower other engineering teams to ship faster. You build the tools that make every other engineer more productive.
• High-Stakes Problem Solving: Act as the final escalation point for the "un-debuggable." You lead the resolution of critical production outages and architect long-term fixes for deep-seated performance bottlenecks.
• Mentorship & Influence: Cultivate a culture of excellence. You mentor Senior Engineers into future Leads and foster a high-growth environment through rigorous design reviews and technical coaching.

Required Qualifications

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Educational background from a highly selective, premier engineering institution with a focus on Computer Science fundamentals is preferred

Experience:

• 10+ years of professional software engineering experience.
• Strong understanding of data structures, algorithms, design patterns, object-oriented as well as functional programming.
• Proven track record of leading technical initiatives from conception to global production deployment.
• Deep expertise in Java & modern web technologies, with a mastery of data structures, algorithms, and complex design patterns.
• Extensive experience building and scaling distributed systems in AWS cloud-native environments and modernization of applications/platforms.
• Strong knowledge of enterprise application architecture.
• Experience managing "large-scale" codebases where performance optimization and bottleneck identification are critical.
• Experience in AI/ML integration, specifically implementing intelligent features like RAG or agentic workflows into enterprise software is preferred.
  Experience with using AI tools and models like Amazon Q, Kiro, Claude is preferred.

Technical Skills:

• Full-Stack Authority: Expert-level proficiency in Java or similar major languages.
• Infrastructure & Orchestration: Hands-on experience with Docker, Kubernetes, and advanced CI/CD automation.
• Observability: Deep familiarity with performance monitoring and alerting stacks (e.g., Grafana, Prometheus, ELK).
• Cloud & Data: Strong experience with AWS services and modern database technologies (Relational, NoSQL, and Vector databases).
• Security & Compliance: Strong understanding of enterprise-grade security, including OAuth2, OIDC, and data encryption at rest/transit.

Soft Skills

• Strategic Communication: The ability to influence stakeholders and explain the "why" behind complex technical trade-offs in terms of business value.
• Systems Thinking: The ability to see how a change in one microservice ripples across the entire ecosystem.
• Radical Accountability: A bias for action and a sense of ownership over the entire platform’s stability and success.
• Mentorship: A genuine passion for leveling up the collective intelligence of the engineering organization.

Job Summary:

As an Assistant Manager for Razorpay’s Affordability Business, you will be the driving force behind our offline ecosystem growth. You aren't just selling a POS terminal; you are enabling merchants to scale their businesses through Affordability solutions. You will own the end-to-end lifecycle of merchant partnerships - from high-stakes acquisition to driving deep product penetration and sustained GTV growth.

Key Responsibilities:

- Strategic Acquisition: Identify and onboard high-potential merchants onto the Razorpay POS platform, maintaining a consistent pipeline to exceed a minimum target of 10 quality stores monthly.
- Usage & GTV Optimization: Go beyond the "sign-up." Drive Merchant GTV by ensuring active POS utilization, feature adoption (Brand EMI), and transaction frequency.
- Portfolio Management: Proactively monitor merchant health and performance metrics, intervening to prevent churn and maximize transaction value.
- Commercial Negotiation: Lead discussions on MDR and commercial structures with partner banks to secure competitive positioning while maintaining Razorpay’s profitability.
- Market Intelligence: Conduct regular field visits to gather ground-level insights on competitor moves and distribution trends.
- Cross-Functional Leadership: Coordinate with Operations, and Banking partners to ensure a frictionless onboarding experience and rapid issue resolution.

Key Requirements:

- Experience: 5+ years of experience in Distribution-led channel sales, ideally within Fintech.
- Domain Expertise: Deep understanding of retail operations, "sell-out" management, and the Brand EMI ecosystem.
- Relationship Architect: Proven ability to build rapport with key retailers, franchisees.
- Mobility: High energy and readiness to travel extensively within and outside your base city to drive growth.

Job Description

We are seeking a Staff SDET to own the quality architecture for our AI-native platform. This is not a test execution role — it is a quality engineering leadership role. You will design and own the test strategy across all layers of the hexagonal architecture (domain core, adapters, integration, end-to-end), establish quality gates for AI model outputs, build the golden dataset evaluation framework, and set the engineering bar for Senior SDETs and QA engineers on both Scrum teams. Nothing ships without your sign-off.

Key Responsibilities

• Own the complete quality architecture: define test strategies at each hexagonal layer — domain core unit tests, adapter integration tests (Testcontainers), service-to-service contract tests (Pact), and end-to-end scenario tests.

• Design and build the golden dataset evaluation framework: seed realistic multi-tenant dealer/customer data across MongoDB, PostgreSQL, Cosmos DB, Elasticsearch, and Kafka, and define assertion criteria for scoring accuracy, suppression correctness, and attribution logic. 

• Establish AI quality gates: define evaluation criteria for ML model outputs (scoring, recommendations), LLM response quality, RAG retrieval accuracy (precision@k, recall), and agentic workflow correctness.

• Architect test infrastructure: Testcontainers configurations for MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, and Redis/Aerospike — enabling fully local integration test runs.

• Own CI/CD quality pipeline: define what automated tests run at commit, PR, staging, and pre-release gates — with blocking quality thresholds.

• Define and track quality metrics: test coverage per hexagonal layer, defect leakage, flakiness rate, MTTR, and automation ROI.

• Lead root cause analysis for production escapes — own post-mortems and preventive measure implementation. 

• Mentor Senior SDETs and QA engineers across both teams; conduct design reviews for test frameworks and golden dataset designs.

• Influence backend and frontend engineers on testability: drive API design, logging, observability, and error handling that makes services intrinsically testable. 

Skills & Experience

• 8+ years of QA Engineering, Test Automation, or SDET experience with strong hands-on engineering depth.

• Deep expertise designing test strategies for hexagonal architecture: proven ability to test domain cores independently from adapters, and adapters independently from each other.

• Strong programming skills in Java (primary) and Python — able to write production-quality test frameworks, not just test scripts. 

• Expert-level Testcontainers experience across MongoDB, PostgreSQL, Kafka, Elasticsearch, and Redis/Aerospike. 

• Experience with contract testing (Pact or similar) for service boundary validation and service virtualization.

• Deep Kafka testing expertise: consumer group behavior, event ordering guarantees, idempotency, and dead-letter queue validation.

• Experience designing golden dataset strategies: multi-tenant data seeding, realistic event sequences, and deterministic assertion design.

• Experience integrating quality gates into CI/CD pipelines with meaningful blocking thresholds.

• Strong understanding of AI/ML output validation: scoring correctness, RAG retrieval quality metrics, and agentic workflow eval design.

Preferred Skills

• Experience with performance, load, and chaos testing (Gatling, k6) against Kafka, Elasticsearch, and MongoDB at scale.

• Background in AI/ML quality engineering: eval frameworks (RAGAS or similar), model regression detection, and LLM safety testing.

• Prior experience owning quality for a platform serving multiple engineering teams (quality platform ownership).

• Familiarity with Cosmos DB testing patterns and eventual consistency validation strategies.

Perks & Benefits

• Competitive compensation and generous stock options.

• Medical insurance coverage.

• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

About Mitsogo & Hexnode

Mitsogo is a global organization committed to attracting top talent and fostering a sense of belonging. We recognize the rapid evolution of technology and society and prioritize equipping our employees with diverse opportunities and skills.

Hexnode, the Enterprise software division of Mitsogo Inc., simplifies the way people work. Operating in over 100 countries, Hexnode UEM empowers organizations across diverse sectors, revolutionizing the enterprise software and cybersecurity landscape.

Role Overview

We are seeking a seasoned and strategic Salesforce Lead/Architect to spearhead the design, development, and governance of our internal Salesforce Sales Cloud platform. As a product-based company, your primary focus will be on leveraging the Salesforce platform to optimize internal sales processes, drive efficiency, and scale our Go-to-Market (GTM) capabilities. This role requires a blend of deep technical architecture expertise, hands-on leadership, and strong business acumen.

Key Responsibilities

Architecture & Design Leadership

• Lead the end-to-end technical and solution architecture for our internal Salesforce platform, with a strong emphasis on Sales Cloud.

• Define and align the Salesforce roadmap with the product company's strategic goals and growth plans.

• Design scalable, high-performance, and secure solutions utilizing standard features, custom development, and external integrations.

• Oversee data modeling, data migration, and data governance strategies to ensure internal data integrity and quality.

Technical Execution & Governance

• Establish and enforce Salesforce best practices, coding standards, governance models, and release management/DevOps processes (e.g., CI/CD, Copado/Gearset).

• Act as the technical escalation point for complex design and development challenges.

• Manage and architect integrations between Salesforce Sales Cloud and other critical enterprise systems (ERP, Marketing Automation, proprietary systems).

• Conduct design and code reviews to ensure solutions are maintainable and performant.

Team & Stakeholder Management

• Collaborate closely with internal stakeholders (Sales leadership, Operations, IT) to gather requirements, prioritize initiatives, and manage expectations.

• Serve as a trusted technical advisor to business leaders.

• Mentor and provide technical guidance to a team of Salesforce developers, administrators, and business analysts.

Required Skills and Experience

• 8+ years of progressive experience in the Salesforce ecosystem, with at least 3+ years in an Architect or Lead capacity.

• Deep, proven expertise in Salesforce Sales Cloud functionality, configuration, and custom development.

• Strong hands-on experience with Apex, Lightning Web Components (LWC), Visualforce, and Flows/Process Automation.

• Expertise in Salesforce integration patterns (REST/SOAP APIs, Platform Events).

• Thorough understanding of the Salesforce security model, sharing, and visibility mechanisms.

• Experience with Agile methodologies and managing the full Salesforce development lifecycle.

• Excellent communication, presentation, and leadership skills.

Preferred Qualifications/Certifications

• Salesforce Certified Application Architect and/or Salesforce Certified System Architect (or demonstrable progress toward the Technical Architect certification).

• Salesforce Certified Sales Cloud Consultant.

• Experience working for a Product-Based Company and managing an internal Salesforce instance.

• Familiarity with other Salesforce Clouds (Service, CPQ, Experience Cloud) is a plus.

Why we're hiring:

WPP Enterprise Technology delivers IT services across the WPP group — enabling the world's most creative brands to co 

We are looking for a seasoned full-stack engineer who enjoys systems design, integration complexity, and intelligent workflow automation. You will join our Global Automation & Business Platforms programme and take ownership of designing, building, and refining production-grade solutions — both as standalone products and as integrations within our core Hero portfolio. 

Day-to-day you will architect event-driven pipelines, build Python and React services, wire together enterprise APIs, and make smart engineering decisions on frameworks and data models.  

What you'll be doing:

Solution Design & Delivery 

• Design and develop full-stack solutions (Python back-end, React front-end) that integrate with portfolio products or run as standalone platforms. 
• Architect service-to-service integration patterns: synchronous APIs, event queues, webhook pipelines, and scheduled batch processes. 
• Build and maintain FastAPI services with clear contracts, versioning, and observability from day one. 

Workflow & Automation Engineering 

• Implement sophisticated multi-step automation workflows that coordinate actions across enterprise systems — document management, CRM, HR, finance, and media platforms. 
• Build integrations between internal data sources, third-party APIs, and cloud platform services (Azure, GCP). 

Quality, Governance & Documentation 

• Build evaluation and testing frameworks so that every automated workflow is measurable, auditable, and improvable. 
• Work closely with the Engineering Lead to define governance standards: access control, audit logging, safe defaults, and compliance guardrails. 
• Maintain thorough technical documentation — architecture diagrams, runbooks, API specs, and decision records. 

Collaboration 

• Operate within an Agile Kanban team, taking stories from backlog refinement through to production deployment. 
• Act as the technical bridge between business stakeholders and engineering: translating requirements into pragmatic designs and communicating trade-offs clearly.
• Support other automation delivery teams across WPP with technical guidance and code reviews. 

What you'll need:

Essential 

• 7–9 years of professional software engineering experience, with Python as the primary back-end language. 
• Strong React / TypeScript front-end skills — you can build and own the full vertical, not just the API layer. 
• Solid FastAPI or equivalent Python API framework experience; you know how to structure a production service. 
• Proven experience designing and operating event-driven or pipeline architectures (queues, schedulers, webhooks, streaming). 
• Comfortable working across cloud platforms — Azure and/or GCP — including managed services for compute, storage, and messaging. 
• Experience integrating with enterprise identity, directory, and SaaS APIs (Microsoft 365 ecosystem is a strong advantage). 
• Hands-on experience building search or retrieval-augmented systems: embedding pipelines, vector databases, semantic indexing. 
• Solid understanding of evaluation and testing practices for complex, non-deterministic systems. 
• Agile practitioner — comfortable in Kanban or Scrum, familiar with backlog management, sprint ceremonies, and incremental delivery. 
• Excellent written and verbal English; you document your work and communicate clearly with both engineers and non-technical stakeholders. 

Nice to Have 

• Familiarity with Microsoft Copilot Studio or Power Platform. 
• Exposure to enterprise-grade governance patterns: RBAC, audit trails, policy-as-code. 

Certifications 

Mandatory (required in first 30 days) 

• Microsoft Azure AI Engineer Associate (AI-102) 

Desirable / Required within 3 months 

• GitHub Copilot (GH-300) 
• Microsoft Power Platform Fundamentals (PL-900) 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Onsite  

Core skills: Technical Support,  troubleshooting, video technology, problem solving, Streaming Media, Video Streaming Workflows, Cloud, SaaS

Bitmovin is a global Series-C SaaS scale-up that provides award-winning video streaming technology to world-renowned brands, including Disney, Warner Brothers Discovery, BBC, Red Bull Media House, Hulu, and The New York Times, to name just a few. 

At Bitmovin, we know that to be the best, we have to have the best people. So we are an inclusive, flexible employer of some of the most impressive and diverse talent across the globe, with a culture that enables you to see success by being your best self.

Our Software Support team is looking for a Software Engineer in Support to be the technical voice of our products in post-sales technical support activities. We seek to maximise the value our customers gain from our products in media compression, playback, and analytics.

Your Impact

You will make an impact that matters by:

• Becoming intimately familiar with customers’ integration and use of Bitmovin products in their video workflows to assist in problem identification and resolution
• Having experience in software development of Web-Applications with JavaScript OR Java, foundational knowledge of Swift, Kotlin, Python
• Triaging and troubleshooting reported support cases to determine root causes and find potential solutions or workarounds
• Being the voice of Bitmovin to customers, including industry leading Video Streaming content providers, and advocating for those customers’ needs within Bitmovin
• Establishing a trusted advisor relationship with customers, offering custom solutions to address reported problems, providing recommendations and training while taking named technical ownership of key growth and strategic accounts within the region, in partnership with Customer Success Managers

It would be great if you have experience in

• Support or other service-oriented customer-facing roles
• Excellent written and verbal communication, love for communicating with people
• Software development and troubleshooting complex technical issues, as well as researching and offering solutions, including potential workarounds
• Using Support/CRM tools such as Zendesk, Jira Service Desk or similar
• Video compression and/or playback technologies
• Fluent in English (Written and spoken)

It would be even better if you had

• Experience with mobile development
• Experience with Video encoding
• Experience with Git and CI/CD processes
• Knowledge of DevOps methodologies and appreciation for the value that technologies like Serverless and Kubernetes bring to the software deployment and development process
• Experience in Linux systems administration 
• A desire for a career path as a Solutions Engineer or Solutions Architect, as opposed to contributing to core product development

Why do this at Bitmovin

There is a lot on offer here:

• View the benefits on our Careers Page
• Get to know our outstanding culture showcased on LinkedIn
• Check the employee reviews on Glassdoor

Apply for the role, and let’s get talking!

 For all of our roles, we are willing to offer flexible working arrangements to support everyone’s unique circumstances.