The Role

We are currently seeking a Staff Software Engineer, Infrastructure to join the AI Platform team that powers seamless insights and interaction through natural language and data intelligence across our AI products.

As a Staff Software Engineer, you’ll architect, build, and operate the backend and platform systems that power AI Platform. You’ll work across service design, distributed systems, cloud infrastructure, event-driven processing, observability, CI/CD, and production reliability, helping shape the technical direction of a platform that supports scalable, client-facing AI experiences.

This role requires a strong software engineering foundation combined with deep infrastructure and systems thinking. We are looking for an engineer who can write high-quality production code, make sound architectural tradeoffs, and own platform capabilities end-to-end — not someone focused only on scripting, cloud configuration, or infrastructure tooling in isolation.

You will collaborate closely with frontend, product, and AI/ML engineers to deliver reliable, secure, and scalable systems that align with Addepar’s standards of performance, resilience, and trust.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Design, build, and operate backend services and infrastructure that power AI Platform products.
• Write high-quality production code for platform and service layers, with strong emphasis on maintainability, reliability, and performance.
• Architect and evolve distributed systems that support AI Platform capabilities such as real-time interactions, asynchronous processing, and secure data workflows.
• Build and extend cloud-native infrastructure across core services, networking, storage, identity, and observability layers.
• Design and maintain infrastructure as code using Terraform, including reusable modules, environment management, and drift-safe workflows.
• Build and operate Kubernetes/EKS-based services, including deployment strategies, health checks, scaling configuration, and containerization workflows.
• Design and improve CI/CD pipelines, release workflows, and engineering productivity systems.
• Build and maintain asynchronous and event-driven systems using queues, RPC/service communication, and resilient failure-handling patterns.
• Design and evolve relational and NoSQL data models, including schema design, migrations, replication, and access patterns.
• Build and maintain observability across metrics, logs, tracing, dashboards, and alerting.
• Apply secure-by-default engineering practices across IAM, secrets, encryption, network isolation, and production operations.
• Mentor engineers through code review, design review, incident reviews, and technical guidance.
• Drive technical decisions that improve platform reliability, scalability, developer productivity, and long-term system health.

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
• At least 8+ years of professional software engineering experience, including significant experience in backend, infrastructure OR platform oriented work.
• Strong proficiency in at least one production backend language such as Python, Go, OR Java and the ability to work effectively across a polyglot environment.
• Strong software engineering fundamentals, including system design, debugging, code quality, testing, and operational ownership.
• Deep hands-on experience with cloud infrastructure in production environments.
• Strong experience with infrastructure-as-code workflows such as Terraform or equivalent tools.
• Experience with Kubernetes/EKS, Docker, and modern deployment practices.
• Experience designing or extending CI/CD pipelines in production environments.
• Experience with distributed systems, microservice communication, message queues, asynchronous processing, and failure handling.
• Experience with both relational and NoSQL database design in production systems.
• Strong observability and production-debugging skills.
• Strong communication, collaboration, and mentoring skills.
• Ability to operate as a software engineer first: we are not looking for someone who is only strong in scripting, cloud configuration, or infrastructure tooling without corresponding depth in production software engineering.

Bonus

• Experience with AI/ML platform tooling such as Databricks, Spark, MLflow, or model-serving systems.
• Experience with real-time streaming or WebSocket-based systems at scale.
• Experience with multi-region architectures, data residency, or failover design.
• Experience in fintech or other highly regulated environments.
• Experience optimizing platform cost, performance, and reliability tradeoffs at scale.

WHO YOU ARE:
The ideal candidate will have strong hands-on experience with Windows Server administration, identity and access management, virtualization technologies, and system performance optimization. This role requires a well-rounded engineer who can ensure system reliability, security, and scalability across on-premises and cloud environments.

WHAT YOU'LL DO:

• Install, configure, and maintain Windows Server environments (2012/2016/2019/2022).
• Manage and support Active Directory, DNS, and related services (ADDS/ADDNS).
• Administer and maintain Microsoft Entra ID (Azure AD), including identity and access management.
• Monitor system performance and troubleshoot issues across servers and infrastructure.
• Manage and support virtualization platforms (VMware and/or Hyper-V).
• Perform system patching, upgrades, and security hardening activities.
• Ensure backup, disaster recovery, and business continuity processes are implemented and maintained.
• Collaborate with cross-functional teams to support infrastructure improvements and initiatives.
• Maintain accurate documentation for system configurations, processes, and procedures.

WHAT YOU'LL NEED:

• Experience with AWS cloud services or hybrid cloud environments.
• Knowledge of Microsoft 365 (O365) administration and services.
• Experience with automation tools and scripting (PowerShell or similar).
• Familiarity with modern infrastructure monitoring and performance tuning tools.
• Basic understanding of AI/ML concepts or exposure to related tools.
• 3+ years of experience in Windows Server administration, infrastructure engineering, or a related field.
• Strong hands-on experience with Windows Server (2012/2016/2019/2022).
• Proven experience with Microsoft Entra ID (Azure AD).
• Expertise in Active Directory and DNS (ADDS/ADDNS).
• Experience with virtualization technologies (VMware and/or Hyper-V).
• Solid understanding of system administration, troubleshooting, and performance optimization.
• Bachelor’s degree in Information Technology, Computer Science, or equivalent experience preferred.
• Relevant Microsoft or virtualization certifications (e.g., Azure Administrator, Windows Server, VMware) are a plus.

Additional Information:
This position may require occasional after-hours support for maintenance, upgrades, or critical incidents. A background check may be required depending on the nature of data access.

#LI-TN1

WHO YOU ARE:
The ideal candidate will have strong hands-on experience with Windows Server administration, identity and access management, virtualization technologies, and system performance optimization. This role requires a well-rounded engineer who can ensure system reliability, security, and scalability across on-premises and cloud environments.

WHAT YOU'LL DO:

• Install, configure, and maintain Windows Server environments (2012/2016/2019/2022).
• Manage and support Active Directory, DNS, and related services (ADDS/ADDNS).
• Administer and maintain Microsoft Entra ID (Azure AD), including identity and access management.
• Monitor system performance and troubleshoot issues across servers and infrastructure.
• Manage and support virtualization platforms (VMware and/or Hyper-V).
• Perform system patching, upgrades, and security hardening activities.
• Ensure backup, disaster recovery, and business continuity processes are implemented and maintained.
• Collaborate with cross-functional teams to support infrastructure improvements and initiatives.
• Maintain accurate documentation for system configurations, processes, and procedures.

WHAT YOU'LL NEED:

• Experience with AWS cloud services or hybrid cloud environments.
• Knowledge of Microsoft 365 (O365) administration and services.
• Experience with automation tools and scripting (PowerShell or similar).
• Familiarity with modern infrastructure monitoring and performance tuning tools.
• Basic understanding of AI/ML concepts or exposure to related tools.
• 3+ years of experience in Windows Server administration, infrastructure engineering, or a related field.
• Strong hands-on experience with Windows Server (2012/2016/2019/2022).
• Proven experience with Microsoft Entra ID (Azure AD).
• Expertise in Active Directory and DNS (ADDS/ADDNS).
• Experience with virtualization technologies (VMware and/or Hyper-V).
• Solid understanding of system administration, troubleshooting, and performance optimization.
• Bachelor’s degree in Information Technology, Computer Science, or equivalent experience preferred.
• Relevant Microsoft or virtualization certifications (e.g., Azure Administrator, Windows Server, VMware) are a plus.

Additional Information:
This position may require occasional after-hours support for maintenance, upgrades, or critical incidents. A background check may be required depending on the nature of data access.

#LI-TN1

Position Summary:

We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.

You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.

Key Responsibilities:

• Develop, Analyze and structure product specifications for input into GenAI programming tools.
• Operate GenAI systems to generate code based on structured inputs.
• Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
• Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
• Provide feedback to improve GenAI model outputs and prompt engineering strategies.
• Review and validate generated code for correctness, efficiency, and adherence to coding standards.
• Maintain documentation of input formats, code review findings, and feedback cycles.
• Stay current with advancements in GenAI programming tools and code generation technologies.
• Participate in code reviews and mentor junior developers.

Basic Qualifications:

• Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
• 8 to 10 years' experience with strong expertise in at least one of the following:
• TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
• Python (Django, Flask, FastAPI/ RestAPI)
• Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
• Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
• Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
• Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
• Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
• Strong understanding of software development principles and code review practices.
• Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
• Strong grasp of software design principles (OOP, SOLID, microservices).
• Excellent problem-solving, debugging, and collaboration skills.
• Excellent analytical and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience working with prompt engineering or structured input design for GenAI systems.
• Exposure to MLOps or AI model evaluation frameworks.
• Knowledge of software architecture and design patterns.
• Knowledge of containerization (Docker, Kubernetes).
• Exposure to serverless architecture and event-driven systems.
• Contribution to open-source or AI-driven development communities.

What's the Role All About?

The Tech Manager is a senior technical leadership role responsible for driving the design, delivery, and quality of AI-driven and Conversational AI solutions across the NICE CXone ecosystem. With 15+ years of experience, you will lead and mentor a high-performing engineering team, bring deep expertise in AI models, AWS Knowledge Hub, and AWS Cloud, and serve as a key technical authority across cross-functional delivery teams. This role blends hands-on technical depth with strong people management, ensuring both engineering excellence and team growth.

How Will You Make an Impact?

Technical Leadership:

• Define and govern technical standards and best practices for AI and Conversational AI solution delivery.
• Provide hands-on guidance on the design and implementation of integrations using APIs, modern web technologies, and authentication standards.
• Lead the development of proofs of concept (PoCs) and production-ready solution components leveraging AWS Cloud, AWS Knowledge Hub, and AI/ML models.
• Drive prompt engineering, conversational design, and AI orchestration best practices across the team.
• Oversee testing, validation, and go-live activities to ensure solutions meet quality, performance, security, and usability standards.

People Management & Team Development:

• Lead, mentor, and develop a team of engineers — conducting performance reviews, supporting career growth, and fostering a culture of continuous learning.
• Define and uphold engineering standards, coding guidelines, and delivery frameworks across the team.
• Identify skill gaps and build team capability in emerging areas such as Generative AI, AWS services, and enterprise conversational platforms.
• Drive a collaborative, inclusive, and high-accountability team culture.

Technical Problem Solving & Quality:

• Diagnose and resolve complex technical challenges across SaaS applications, cloud environments, AI integrations, and data flows.
• Ensure all implementations meet enterprise-grade standards for quality, scalability, security, and performance.
• Produce and review key documentation including architecture specifications, test strategies, and deployment materials.

Delivery & Process Excellence:

• Drive Agile/Scrum delivery practices including sprint planning, retrospectives, and release management.
• Define and continuously improve engineering processes, documentation standards, and delivery frameworks.
• Align technical roadmap planning with business priorities and stakeholder expectations.
• Manage escalations effectively and maintain strong cross-functional collaboration with Implementation Engineers, Consultants, Project Managers, and Customer Success teams.

Collaboration & Stakeholder Engagement:

• Partner with senior stakeholders, customers, and cross-functional teams to translate business requirements into technical solutions.
• Participate in customer workshops, design reviews, and technical discussions — communicating architecture decisions and implementation strategies with clarity and confidence.
• Maintain transparent and consistent communication across all delivery teams.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 15+ years of professional experience in software engineering or technical delivery roles, with a focus on AI, digital channels, or bot/conversational applications preferred.
• 5+ years in a technical leadership or people management role (Engineering Manager, Tech Lead, or similar).

Technical & Architecture Skills:

• 7+ years of hands-on software development experience, with at least 2–3 years in a tech lead or architect capacity.
• Strong proficiency in modern programming languages such as Java, Python, C#, or JavaScript/TypeScript.
• Deep knowledge of AWS Cloud services and AWS Knowledge Hub; familiarity with Azure or GCP is a plus.
• Proven experience working with AI/ML models, Generative AI frameworks, and enterprise AI orchestration patterns.
• Strong expertise in:
• Web APIs, SOAP, and REST implementations
• Modern authentication standards (OAuth2, OIDC, SAML)
• Browser and web security (CORS, X-Frame Options)
• HTML/CSS and front-end fundamentals
• Prompt engineering and AI integration patterns
• Solid understanding of CI/CD pipelines, DevOps practices, and software architecture principles.
• Proficiency in databases (SQL/NoSQL) and data integration patterns.
• Strong understanding of conversational UX, AI-driven interfaces, and enterprise AI platforms.

Leadership & People Management:

• Demonstrated experience managing and growing engineering teams, including performance management and career development planning.
• Ability to define technical vision, establish engineering standards, and align team deliverables with organisational goals.
• Strong stakeholder management skills, including handling escalations and influencing at senior levels.
• Experience driving technical roadmap planning across multi-disciplinary teams.

Communication & Collaboration:

• Clear, confident written and verbal communication skills.
• Comfortable engaging with customers and senior stakeholders to articulate technical decisions, solution architecture, and delivery strategy.
• Effective leader in design reviews, sprint planning, technical discussions, and delivery execution.

Delivery & Process:

• Experience defining and improving engineering processes, documentation standards, and delivery governance.
• Strong track record of authoring and reviewing design documents, functional requirements, test strategies, and deployment guides.
• Experienced in Agile/Scrum environments with a focus on predictable, high-quality delivery.
• Willingness to work in US shift hours (5 PM – 2 AM IST).

You Will Have an Advantage If You Also Have:

• Hands-on experience with NICE CXone products or other cloud-based contact centre platforms.
• Experience with enterprise conversational AI platforms such as NICE CXone, Kore.ai, Amelia, Dialogflow, or similar.
• Exposure to Generative AI tools, LLM fine-tuning, or RAG-based architectures.

What's in It for You?

Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration, where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10786

Reporting Into: Director , Engineering 

Role Type: People Management

So, What's the Role All About?

We are looking for a Specialist Software Architect to lead the architectural vision, design, and evolution of our AI-driven and Conversational Solutions platform. This role demands deep hands-on expertise in Python, AWS Cloud services, AWS Knowledge Hub, and multiple Knowledge Base technologies, along with proven experience designing simplified, scalable, and resilient architectures using microservices and AWS-native services.

You will play a critical role in shaping the technical foundation of our Conversational AI platform — one that handles millions of interactions per day, meets strict SLAs (99.99%), and supports zero-downtime deployments, robust disaster recovery, and enterprise-grade AI orchestration. You will be the go-to architect for proposing pragmatic, simplified designs that balance innovation with operational excellence.

How Will You Make an Impact?

Architecture & System Design:

• Own and define the end-to-end architecture of the Conversational AI and Knowledge platform, covering AI model integration layers, data stores, knowledge bases, and external integrations.
• Design enterprise-scale, cloud-native, microservices-based architectures capable of handling high concurrency, burst traffic, and real-time conversational workloads.
• Propose simplified, cost-effective architectural designs leveraging AWS-native services — avoiding over-engineering while ensuring scalability and resilience.
• Define reference architectures, architectural blueprints, and non-functional requirements (NFRs) for performance, reliability, security, and maintainability.
• Drive event-driven and asynchronous architectures using AWS-native services such as SQS, SNS, EventBridge, and Step Functions.
• Define best practices for microservices design, domain-driven design (DDD), API design (REST, async/event APIs), and AI integration patterns.
• Review and guide complex application-level designs, critical code paths, and AI pipeline architectures.

AI & Conversational Solution Architecture:

• Architect and evolve AI-driven Conversational solutions integrating large language models (LLMs), prompt engineering patterns, and enterprise AI orchestration frameworks.
• Design and implement Knowledge Base solutions using AWS Knowledge Hub, vector databases, RAG (Retrieval-Augmented Generation) architectures, and other knowledge management technologies.
• Define AI model integration strategies — including model selection, fine-tuning approaches, embedding pipelines, and response quality frameworks.
• Drive conversational UX architecture, ensuring seamless, context-aware, and low-latency interaction flows.
• Evaluate and recommend AI tooling, platforms, and frameworks aligned with business needs (e.g., AWS Bedrock, LangChain, OpenAI, Anthropic, Kore.ai, Dialogflow).
• Lead the design of multi-turn conversation management, intent resolution, and fallback handling architectures.

AWS Cloud & Microservices Architecture:

• Architect and optimise solutions using AWS services including but not limited to Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, Aurora Serverless, S3, Bedrock, and Kendra.
• Design cost-efficient, elastic scaling strategies aligned with unpredictable conversational AI workloads.
• Lead cloud governance, environment isolation, multi-account strategy, and infrastructure-as-code (IaC) practices.
• Define CI/CD pipeline standards, DevOps practices, and containerisation approaches (Docker, Kubernetes) for AI workload deployments.
• Drive microservices decomposition strategies — identifying service boundaries, inter-service communication patterns, and data ownership models.

Scalability, Resilience & Disaster Recovery:

• Design for extreme scale — high concurrent users, high TPS, and real-time AI inferencing demands.
• Own resilience strategies including multi-AZ and multi-region architectures, active-active or active-passive DR setups, and graceful degradation mechanisms.
• Define and validate RPO/RTO goals, conduct chaos testing, and lead DR drills.
• Ensure zero-downtime deployment capabilities through blue/green, canary, and rolling deployment strategies.

Security, Compliance & Reliability:

• Embed security by design across all AI and data architecture layers — covering authentication, authorisation, data privacy, encryption, and model safety guardrails.
• Support compliance requirements (SOC2, ISO, GDPR) from an architectural standpoint, particularly around AI data handling and knowledge base access controls.
• Partner with SRE and DevOps teams on observability, logging, distributed tracing, and alerting for AI workloads.
• Define SLIs, SLOs, and capacity planning models for conversational AI services.

Technical Leadership & Collaboration:

• Act as a technical mentor and trusted advisor to senior engineers, tech leads, and implementation teams.
• Lead architecture reviews, design councils, and technical decision forums — championing simplicity, pragmatism, and long-term maintainability.
• Partner closely with Product Management, AI/ML teams, and delivery teams to balance innovation with execution feasibility.
• Drive the long-term AI architecture roadmap and proactively reduce technical debt.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 10+ years of professional software engineering experience, with at least 4–5 years in a software architect or principal engineer role.
• Demonstrated experience designing and delivering AI-driven or Conversational AI platforms at enterprise scale.

Technical Expertise:

• Deep hands-on experience with Python — including AI/ML libraries, API development, and automation scripting.
• Strong expertise in AWS Cloud services — particularly those relevant to AI workloads: Bedrock, Kendra, Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, S3, and Aurora Serverless.
• Hands-on experience with AWS Knowledge Hub and multiple Knowledge Base technologies including vector databases, document stores, and semantic search platforms.
• Proven experience designing microservices architectures — including service decomposition, inter-service communication (REST, gRPC, event-driven), and distributed data management.
• Strong understanding of:
• RAG (Retrieval-Augmented Generation) architectures and embedding pipelines
• Prompt engineering and LLM integration patterns
• Modern authentication standards (OAuth2, OIDC, SAML)
• Web APIs — REST and async/event API design
• Databases (SQL/NoSQL) and data integration patterns
• Experience with CI/CD pipelines, DevOps practices, and containerisation (Docker, Kubernetes).
• Familiarity with AI tooling and platforms such as AWS Bedrock, LangChain, OpenAI, Anthropic, Dialogflow, or Kore.ai.
• Experience with GenAI and Agentic AI application development.

Architecture & Scale:

• Demonstrated success designing systems for high traffic, low latency, and high availability at global scale.
• Deep experience with resilience, disaster recovery, and failover design in cloud-native environments.
• Strong track record of proposing simplified, pragmatic architectural solutions that avoid unnecessary complexity.
• Experience with event-driven systems, message queues, and streaming architectures.
• Strong understanding of cloud networking, caching strategies, and data modelling for AI workloads.

Good to Have:

• Experience with CCaaS or real-time communication platforms (e.g., NICE CXone).
• Exposure to multi-region SaaS deployments and hybrid serverless/container architectures.
• Familiarity with OpenSearch or Elasticsearch for conversational data search and analytics.
• Experience with cost optimisation strategies at scale on AWS.
• Knowledge of frontend technologies (JavaScript/TypeScript, React) for full-stack architecture awareness.

What's in It for You?

Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 10787

Reporting Into: Director , Engineering

Role Type: Individual Contributor 

So, what’s the role all about?

The Specialist Software Architect is responsible for providing technical leadership across development teams in one or more functional areas. This position is ultimately responsible for the successful implementation of key deliverables to ensure that each release is designed with high availability, scalability, serviceability and supportability in mind.

How will you make an impact?

• Set the end-to-end technical direction for the team, including platform, technology, tools, and infrastructure.
• Communicate architecture in an effective and professional manner.
• Individual contributor.
• Drive technical decisions, solve tough problems, and coordinate multiple project execution.
• Ensure that the Development coding quality standards and review processes are followed to ensure proper security and high availability standards.
• Monitoring the quality of code that is delivered by your team through reviews and other processes.
• Foster strong teamwork environment and create passion and energy within the team.
• Represents self and department with professionalism and competence.
• Always Follow the company Code of Ethics and policies and procedures
• Overall responsibility for platform architecture, establish well architected and designed solutions. Working with several scrum teams and actively involved in the design of multiple features in parallel. Mentor and develop engineers and Involvement in hiring.
• Drive the architecture of a project/product line, including authoring functional and design specifications, scalability, security, data flow.
• Identify impact of new technologies on our products and communicate to development teams.
• Conduct architectural and design reviews and code reviews
• Evaluate new technologies/innovations and industry trends.
• Intentionally drives business value through architectural innovation

Have you got what it takes?  

• 8-12 years of software development experience
• Skill set:- C#, .Net 8, Angular 18, MS-SQL
• About 3 years’ experience as an architect for AWS Cloud-SaaS-multi tenant applications.
• Experience designing multi-tiered service-oriented applications and microservices, REST, Event Driven Architecture
• Development experience with Web development technologies (JS, HTML5, CSS3, Vue/Angular/React)
• Development experience with C# and Microsoft family of frameworks
• Experience with .Net Migration from legacy application to .Net core.
• Working Knowledge of design patterns, methodologies and architectural styles
• Experience in database design, Data APIs, Batches/Big Data
• Experience with databases like Oracle, Postgres, MS-SQL
• Experience with Containerization Services like Docker, Kubernetes
• Experience with Kafka, Rabbit MQ
• Experience with AI/ML development or usage will be a big plus
• Experience with NoSQL DBs will be an advantage.
• Exposure to Performance Engineering, Cloud SLA, Availability, resiliency will be a plus
• Experience of APM tools like Datadog or Dynatrace will be an advantage
• Technically Savvy, Influencer and Learner
• Experience using Test Driven Development, Continuous Integration, and Test Automation   

You will have an advantage if you also have:

• Experience with CI/CD technologies (Jenkins, Octopus etc.)
• Knowledge of secure code practices.
• Docker, Container orchestration experience
• Familiar with AWS
• Knowledge of Grafana and Prometheus for proactive monitoring and alerting

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10838
Reporting into: Tech Manager
Role Type: Individual Contributor

The Role

Lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.

This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.

At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

What You'll Do

• Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
• Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
• Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
• Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
• Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
• Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
• Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
• Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
• Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
• Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.

Skills & Requirements

Who You Are

• You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
• You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
• You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
• You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
• You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
• You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.

About Securly

Benefits

The Role

The Senior Data Scientist will lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.

This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.

At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

What You'll Do

• Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
• Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
• Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
• Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
• Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
• Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
• Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
• Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
• Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
• Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.

Skills & Requirements

Who You Are

• You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
• You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
• You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
• You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
• You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
• You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.

About Securly

Benefits

Overview:

We are seeking a highly experienced Platform Engineer to architect, build, and operate a next-generation AI-powered Internal Developer Platform (IDP) that enables rapid, secure, and scalable software delivery across the enterprise.

This role will manage a critical Kubernetes platform and drive automation through Terraform, ArgoCD, and Azure DevOps. While your foundation is rooted in SRE and DevOps excellence, you will also lead our efforts to integrate Agentic AI into the platform, building intelligent workflows that automate environment provisioning, incident triage, and self-service capabilities to eliminate operational friction.

You will operate at the intersection of Platform Engineering, Cloud Infrastructure, AI automation, and Developer Experience, building systems that empower engineering teams to move faster with higher reliability and lower operational overhead.

Tech Stack Mandate

What You’ll Do: 

• Platform Architecture: Design, Develop and evolve a self-service Internal Developer Platform (leveraging Backstage or similar) to abstract cloud complexity for engineering teams.
• Infrastructure as Code (IaC): Lead the development of modular, enterprise-grade Terraform libraries to manage multi-region Azure and AWS environments.
• Kubernetes Orchestration: Operate and manage large-scale Kubernetes clusters, focusing on networking, security hardening, and workload autoscaling.
• Continuous Delivery: Own the CI/CD lifecycle by building robust Azure DevOps Pipelines and implementing GitOps patterns using Argo CD.
• AI-Enhanced Automation: Develop Python-based automation and AI agents to assist in infrastructure scaffolding, policy enforcement, CI/CD actions and proactive cost optimization.
• SRE & Reliability: Partner with dev teams to define SLIs/SLOs and integrate observability (Datadog/Prometheus) to create self-healing infrastructure loops.
• Developer Advocacy: Continuously improve Developer Experience (DevEx) by reducing cognitive load and providing automated onboarding and documentation for new services.

Required Technical Qualifications: 

• 7+ years in Platform Engineering, DevOps, or Site Reliability Engineering.
• Expert-level Terraform: Experience managing complex state, custom providers, and enterprise-grade modules.
• K8s Specialist: Deep understanding of CNI, CSI, Ingress Controllers, and Service Mesh.
• Python Mastery: Ability to write production-grade Python for building CLI tools, automation scripts, and AI agent logic.
• Agentic AI Experience: Proven experience moving beyond simple prompts to building autonomous agents that use tools/APIs to perform tasks day to day platform engineering tasks
• Production GitOps: Hands-on experience scaling Argo CD across hundreds of microservices.

Preferred Qualifications: 

• Experience with Azure OpenAI Service and building RAG (Retrieval Augmented Generation) systems f
• Knowledge of Policy-as-Code (OPA/Gatekeeper or Kyverno) integrated into CI/CD.
• Background in FinOps, specifically using AI to drive automated cloud cost reduction.

Competencies:

• Zero-Touch Provisioning: A developer can go from "Idea" to "Production-Ready URL" in minutes via an AI-guided workflow.
• Autonomous SRE: AI agents proactively identify and fix 30% of common infrastructure drift or pod failures before a human is paged.
• Immutable Infrastructure: 100% of production changes are driven via Terraform and Argo CD—no manual "click-ops."

What We Offer: 

• Competitive compensation 
• Employee medical coverage 
• Central office location 
• Entrepreneurial environment, autonomy, and fast decisions 
• Casual work environment 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-AD2

#LI-HYBRID

About the Role

NICE is seeking a talented AI Engineer to accelerate innovation across the APAC region by leading AI-centric Proof of Concepts (POCs) and Pilots alongside our extended solution and sales engineering teams. This role sits at the intersection of cutting-edge AI development and customer-facing technical delivery, with a special focus on Agentic AI solutions that push the boundaries of what is possible with intelligent automation and large language models.

The AI Engineer will work hands-on to design, build, and demonstrate AI-powered solutions, translating complex technical capabilities into tangible business value for customers across APAC.

How will you make an impact?

Agentic AI POCs & Pilots

• Design and build Agentic AI proofs of concept

     Architect and develop end-to-end Agentic AI solutions demonstrating autonomous decision-making, multi-step reasoning, and task orchestration across APAC customer engagements.

• Prototype rapidly

     Build lightweight, demonstrable prototypes using LLMs, agent frameworks, and NICE /Cognigy platform APIs to showcase the art of the possible.

Development & Engineering

• Develop and integrate APIs, webhooks, and microservices connecting LLMs and AI models to enterprise platforms and CX workflows.
• Build and maintain reusable AI accelerator assets, code templates, and demo environments for the extended APAC team.
• Implement prompt engineering strategies, RAG pipelines, and agent orchestration frameworks LLM & AI Model Expertise
• Apply knowledge of large language models (GPT-4, Claude, Gemini, Llama, etc.) to design appropriate solutions for customer use cases.
• Evaluate and select the right model, fine-tuning approach, or retrieval strategy for each POC based on accuracy, latency, and cost requirements.
• Stay current with the rapidly evolving LLM ecosystem including model releases, agent frameworks, and emerging AI tooling.

Collaboration & Knowledge Sharing

• Contribute to internal playbooks, documentation, and demo libraries to uplift the broader team’s AI capabilities.
• Engage with customers directly to understand requirements and translate them into practical AI solution designs.

Have you got what it takes?

• Bachelor’s degree in computer science, Software Engineering, or a related field or equivalent experience.
• 4-8 years of software development experience in developing high performance, highly available and scalable enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem.

Programming proficiency:

.

• Experience with REST APIs, JSON, cloud SDKs
• Familiarity with data processing, vector databases and embedding pipelines for RAG architecture.
• Ability to debug, iterate quickly, and deliver working demos under tight timelines.

AI & Machine Learning Understanding

• Solid conceptual and practical understanding of machine learning fundamentals, NLP/NLU, and generative AI.
• Experience designing or building Agentic AI systems — including tool use, memory, planning, and multi-agent coordination.
• Understanding of responsible AI practices, hallucination mitigation, and evaluation methodologies for LLM outputs.

LLM Usage & Prompt Engineering

• Proficient with LLM APIs     including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and open-source models via Hugging Face or Ollama.
• Strong prompt engineering skills: few-shot prompting, chain-of-thought, structured outputs, and system prompt design.

Version Control & Collaboration Tools

• GitHub / Git proficiency:

     Comfortable with branching strategies, pull requests, code reviews, and collaborative development workflows.

• Ability to manage, share, and version AI demo assets and code in shared repositories accessible to the extended team.
• Experience with CI/CD basics and familiarity with tools such as GitHub Actions, or similar pipelines, is advantageous.

.

You will have an advantage if you also have:

• Experience with NICE CXone, Cognigy (conversational AI & agent orchestration platform), or similar CCaaS / conversational AI platforms.
• Knowledge of the APAC technology landscape and experience working with enterprise customers in the region.
• Background in contact centre, CX, or enterprise SaaS environments.
• Exposure to voice AI, speech-to-text/text-to-speech pipelines, or real-time AI in contact Centre contexts.

What’s in it for You?

Join an ever-growing, market-disrupting, global company where teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about AI, innovative at heart, and excited to constantly raise the bar on what intelligent technology can do, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10692                

Reporting into: Director,Solution Engineering

Position Summary:

We are looking for a highly experienced Network Architect & Operations Lead to drive the design, operation, and optimization of large-scale, AI inferencing data center environments. The ideal candidate will have a strong background in architecting and running complex distributed infrastructures supporting GPU-as-a-Service (GPUaaS) workloads, high-throughput AI inferencing traffic, GPU cluster networking, and globally distributed network topologies.

This role is central to ensuring the uptime, reliability, and scalability of our inferencing data centers. This role requires a senior professional with CCIE-level expertise (or equivalent capability) who can combine architecture, operations, team leadership, and automation skills to ensure network reliability, scalability, and operational excellence across a 24/7 GPU inferencing environment. The ideal candidate will lead and mentor a tiered team of L1, L2, and L3 network engineers, owning end-to-end network operations and SLA commitments for our AI inferencing data centers. Experience in high-scale environments such as Lambda Labs, Nvidia, Equinix, AWS, Azure, Google Cloud, or similar large AI infrastructure or hyperscale organizations is highly preferred.

Key Responsibilities:

• Operate large-scale AI inferencing data center network environments across multiple sites.
• Lead and manage a tiered NOC team (L1, L2, L3), driving operational discipline, escalation processes, and continuous uptime of inferencing infrastructure.
• Own uptime and SLA commitments for GPU inferencing data centres, ensuring high availability and rapid incident response.
• Design and maintain scalable network topologies supporting high-throughput GPU cluster traffic, east-west data flows, API traffic, VPN connectivity, and GPUaaS tenant workloads.
• Lead technical design decisions for leaf-spine data center architectures using Arista switching platforms.
• Configure, manage, and troubleshoot advanced routing protocols with a strong focus on BGP, EVPN, VXLAN, and large-scale traffic engineering.
• Manage and optimize Cisco firewall platforms (Firepower/FTD) to ensure secure and efficient traffic flows across tenant and infrastructure networks.
• Support GPU cluster networking including high-bandwidth, low-latency east-west traffic between GPU nodes, with familiarity in RDMA over Converged Ethernet (RoCE) or similar low-latency fabrics.
• Drive operational excellence through structured NOC methodologies, runbook standardization, incident management, and continuous optimization.
• Improve network efficiency through automation, tooling, and operational workflows.
• Perform deep troubleshooting and debugging of complex network and performance issues across Arista, Cisco, and Dell infrastructure.
• Lead network capacity planning, upgrades, and infrastructure scaling initiatives in line with GPU compute growth.
• Collaborate with cross-functional engineering teams (compute, storage, platform, security) to support business growth and ensure high availability.
• Document architecture standards, operational procedures, runbooks, and best practices.

Basic Qualifications:

• 10+ years of hands-on experience in network architecture or network operations within large-scale enterprise, cloud, or AI/HPC data center environments.
• Strong expertise in advanced routing & switching technologies, including BGP, OSPF, EVPN, and VXLAN.
• Deep operational understanding of multi-site, high-scale data center network infrastructure.
• Hands-on experience with Arista EOS and Arista switching platforms in a data center environment.
• Proven experience managing complex network topologies and distributed environments.
• Experience leading and managing NOC teams (L1/L2/L3), including escalation frameworks, shift management, and SLA ownership.
• Familiarity with high-performance compute (HPC) or GPU cluster networking and associated traffic patterns.
• Strong troubleshooting, debugging, and analytical skills across multi-vendor environments.
• Practical experience with network automation and operational optimization.

Preferred Qualifications:

• CCIE certification (or equivalent real-world expertise).
• Arista ACE (Arista Certified Engineer) certification or equivalent hands-on Arista expertise.
• Experience with GPU-as-a-Service (GPUaaS), AI/ML inferencing platforms, or hyperscale compute environments.
• Hands-on experience with Cisco Firepower / FTD firewall platforms and enterprise security frameworks.
• Experience with Dell PowerEdge or similar GPU server environments and their network integration.
• Familiarity with RDMA over Converged Ethernet (RoCE), InfiniBand, or other low-latency GPU interconnect fabrics.
• Experience with Arista and Cisco routing and switching platforms.Leaf-spine data center fabric design for AI/ML compute clusters.
• Experience with BGP EVPN and VXLAN overlay architectures. Network automation frameworks and scripting (Python, Ansible, Terraform)
• Experience with Tenant network isolation, VLANs, and multi-tenancy in GPUaaS environments.
• Additional certifications such as CCNP, Arista ACE-L, or equivalent advanced networking certifications.

Position Summary:

We are seeking a Solution Architect – (AI Infrastructure & Hybrid Cloud) to lead the strategic design, architecture, and deployment of large-scale, enterprise-grade Red Hat OpenShift and Kubernetes environments. As a technical authority at the L4 level, you will be responsible for defining the blueprint of our cloud-native infrastructure, ensuring it is secure, scalable, and highly automated.
The ideal candidate acts as the bridge between traditional infrastructure and modern DevOps, serving as the lead design authority for global clients. You will collaborate with Network and Firewall Architects to build a unified fabric where containerized workloads, legacy data centers, and hybrid cloud environments coexist seamlessly through advanced automation and Infrastructure-as-Code (IaC).

Key Responsibilities:

• Architect and Design Enterprise OpenShift Solutions: Lead the high-level design (HLD) and low-level design (LLD) for multi-tenant Red Hat OpenShift and Kubernetes clusters across on-prem and hybrid cloud environments.
• Define the technology stack, standards, and blueprints for deploying AI solutions across global, multi-region public clouds (AWS/Azure/GCP) and diverse on-premise hardware.
• Oversee the successful end-to-end rollout of critical services including AI SOC, OpenShift AI, and AI-based Cybersecurity Log Optimization.
• Drive Network DevOps Strategy: Define and standardize the automation roadmap using Ansible, Terraform, and Python to achieve "Zero-Touch" infrastructure provisioning and configuration.
• Lead Customer & Stakeholder Engagement: Act as the primary technical consultant for global clients, leading design workshops, architecture validation, and executive-level technical reviews.
• Integrate Advanced AI apps, Networking & Security: Collaborate with Pre-sales, AI application developers & Engineers, Firewall Architects to design secure AI agents & use cases, container networking (CNI) models, implementing Zero-Trust security, service mesh (Istio), and micro-segmentation within OpenShift environment.
• Optimize Hybrid Infrastructure: Oversee the seamless integration of OpenShift with physical networking (Cisco ACI, VXLAN) and virtualized platforms (RHEL-V, VMware ESXi).
• GPU & Hardware Orchestration: Design and manage hardware acceleration using the NVIDIA GPU Operator and Node Feature Discovery (NFD). Implement Multi-Instance GPU (MIG) and time-slicing to optimize resource utilization across multi-tenant clusters.
• Establish CI/CD Governance: Architect robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) for infrastructure and application delivery, ensuring compliance and security are baked into the workflow.
• Lead Observability & Reliability: Design comprehensive monitoring and logging architectures using Prometheus, Grafana, and ELK stack to ensure 99.99% availability of cluster services.
• Mentorship & Technical Leadership: Guide and mentor L2/L3 engineers, providing expert-level escalation support and establishing best practices for the DevOps and Network teams.
• Innovation & R&D: Evaluate and introduce emerging technologies such as Advanced Cluster Management (ACM), Advanced Cluster Security (ACS), and Cloud-Native Networking (OVN-Kubernetes).

Basic Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• 10+ years of progressive experience in systems architecture, infrastructure engineering, or network DevOps.
• Expert/Architect-level proficiency in OpenShift (RHOS), and Kubernetes architecture in large-scale production environments.
• Experience architecting hybrid-cloud OpenShift solutions involving AWS (ROSA), Azure (ARO), or Google Cloud.
• Proven track record in Automation & IaC: Mastery of Ansible, Terraform, and Git-based workflows to manage complex infrastructures.
• Deep understanding of Linux (RHEL) Internals: Mastery of kernel networking, storage drivers (CSI), and container runtimes (CRI-O).
• Strong Network Background: In-depth knowledge of BGP, VXLAN, and EVPN as they apply to connecting containerized workloads to physical data center fabrics.
• Experience in "Architecture as Code": Ability to develop and maintain compliance artifacts, design validation reports, and automated documentation.
• Excellent Leadership Skills: Demonstrated ability to manage high-stakes customer relationships and lead cross-functional technical teams

Preferred Qualifications:

• Certifications: Red Hat Certified Architect (RHCA), Red Hat Certified Specialist in OpenShift (Administration/Development), or CKA/CKS (Certified Kubernetes Administrator/Security), AWS/GCP Certified DevOps Engineer, AWS Certified SysOps Administrator, HashiCorp Certified: Terraform Associate
• Red Hat Certified OpenShift Administrator, AWS Certified AI Practitioner, Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP)
• Security Focus: Exposure to DevSecOps tools (e.g., Quay, StackRox) and zero-trust framework implementation
• Legacy Integration: Familiarity with Cisco ACI, Arista CloudVision, or Juniper Apstra for end-to-end automation integration
• Red Hat OpenShift AI (ROAI) expertise will be preferred
• Familiarity with LLM deployment requirements and vector database infrastructure
• Background in Cybersecurity infrastructure (SIEM, SOAR, SOC & VAPT platforms)
• Experience with MLOps infrastructure (Kubeflow, MLflow) and high-speed telemetry pipelines

Overview of Role

As an App Development Architect, you'll be at the forefront of solution design, defining technical roadmaps, making critical architectural decisions, and ensuring the successful delivery of complex application projects. You'll mentor development teams, promote best practices, and drive innovation across our application development lifecycle, primarily leveraging the power of Google Cloud Platform.

Responsibilities:

• Architectural Leadership: Lead the design and architecture of robust, scalable, secure, and high-performance applications, defining technical standards, patterns, and best practices.
• Solution Design & Strategy: Translate complex business requirements and user stories into detailed technical designs, architectural blueprints, and implementation strategies for application development projects.
• Technology Selection: Evaluate and recommend appropriate technologies, frameworks, and platforms, with a strong emphasis on Google Cloud Platform (GCP) services and cloud-native architectures.
• Technical Guidance & Mentorship: Provide expert technical guidance and mentorship to development teams, conducting code reviews, and ensuring adherence to architectural principles and coding standards.
• Performance & Scalability: Design solutions that meet stringent performance, scalability, reliability, and security requirements, anticipating future growth and evolving needs.
• Integration Strategy: Define strategies for integrating diverse systems, including APIs, microservices, third-party platforms, and legacy applications.
• Stakeholder Collaboration: Collaborate closely with clients, product managers, project managers, and cross-functional engineering teams to ensure alignment between business goals and technical solutions.
• Roadmapping & Innovation: Contribute to technical roadmaps, staying abreast of emerging technologies and industry trends (e.g., AI/ML integration, serverless, containerization) to drive innovation.
• Risk Management: Identify potential technical risks and challenges, proposing mitigation strategies throughout the project lifecycle.

Qualifications:

• 10+ years of progressive experience in software development, with at least 3-5 years in an Application Architect or similar senior leadership role, focusing on complex enterprise applications.
• Experience on frontend react/angular application design and development with strong architecture exp.
• Deep, hands-on experience designing and deploying applications leveraging a broad range of preferred GCP any cloud exp counts AWS,Azure.
• Strong understanding and practical experience with modern architectural patterns (e.g., Microservices, Event-Driven Architecture, Serverless, N-tier applications).
• Expertise in one or more modern programming languages commonly used in enterprise application development mandatory Python good to have additionally (Java,Nodejs,C#).
• Proficient in designing data models and selecting appropriate database technologies (relational, NoSQL) based on application requirements.
• Extensive experience with RESTful API design principles, API Gateways (e.g., Apigee), and secure API development.
• Solid understanding and experience with DevOps principles, CI/CD pipelines, and automation tools..
• Exceptional analytical and problem-solving skills, with the ability to define technical solutions for complex business problems.
• Excellent verbal and written communication skills, with proven ability to lead technical discussions, present architectural designs, and mentor development teams.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Willingness to work flexible hours and rotational shifts as per business requirements.
• Ability to work independently and as part of a collaborative team, fostering strong relationships with application development teams.

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.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

About the Role

As a Product Owner in the AI Solutions team, you will play a pivotal role in translating strategic direction into actionable product increments. You will work closely with engineering teams in India, Nepal, and the US to ensure that our generative AI platform delivers measurable value to healthcare payers, with a focus on key business cases (i.e. Payment Integrity) and unstructured data solutions. This is an execution-focused role, responsible for the “how” of delivery and sprint cadence, while closely partnering with the Senior Product Manager who drives the “what” and “why.”

Your day to day

• Create and maintain a structured product backlog for GenAI solutions, ensuring clear problem statements, acceptance criteria, and definitions of done.
• Own GenAI stories in Jira, maintaining distinct boards, sprint cadences, and capacity visibility as defined by team processes.
• Break down high-level product and governance objectives into actionable user stories and tasks.
• Lead grooming sessions with engineers, data modeling, stakeholders, and others to clarify scope, estimate effort, and prioritize work based on business value and readiness.
• Drive sprint planning, coordinate daily stand-ups for the AI team, and proactively remove blockers to ensure commitments are met and deliverables align with the roadmap.
• Define and execute acceptance testing for completed features, verifying that data traceability, outputs, and governance capabilities meet requirements.
• Coordinate with security and compliance to ensure features meet auditability, observability, and hallucination control guardrails.
• Prepare release notes, user guides, and internal training materials; support deployments with DevOps and ensure client-facing documentation reflects new capabilities.
• Act as a liaison between product leadership, engineering, data modeling, and platform teams; communicate progress and issues clearly.
• Track and report on key SDLC metrics (burndown, velocity, throughput, capacity) and maintain a knowledge base of FAQs, lessons learned, and key decisions.
• Champion continuous improvement by applying agile best practices, identifying process bottlenecks, and leveraging AI tools for backlog management and documentation.

What you bring to the team

• 3+ years as a Product Owner or similar role in a data-driven environment, ideally supporting AI, data platforms, or healthcare products.
• Experience working with distributed engineering teams, preferably across US and India time zones, and familiarity with Scrum/Agile methodologies and tools (e.g., Jira, Confluence).
• Demonstrated ability to translate strategic product direction into actionable backlog items, groom stories with engineers, and manage sprint cadence.
• Strong understanding of the software development lifecycle (SDLC) and release management, with the ability to coordinate acceptance testing and quality assurance.
• Exposure to healthcare data (claims, clinical, or payer workflows) and AI/ML technologies.
• Excellent communication and organizational skills; comfortable interfacing with technical and non-technical stakeholders across product, engineering, security, and sales.
• Fluency in English (required for India-based roles).

What we would like to see, but not required

• Experience with healthcare interoperability standards (e.g., HL7 V2, FHIR, X12).
• Experience with cloud technologies (AWS, Azure, GCP), Databricks, or Snowflake.
• Prior work in a high-growth, fast-paced startup environment.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Overview

The Ad Exchange development team at GumGum is responsible for the technical development and operations of our Ad Exchange technology. The Ad Exchange software handles a high volume of requests (40 million requests per minute) and is a highly distributed Java web service. Our team currently uses technologies such as Java, Spring, MySQL, Kafka, Aerospike, ScyllaDb, Memcached, and more.

This role works with product managers and various engineering teams to deliver on priorities for the company, making a significant impact on a key revenue stream for the business.  You’ll be expected to take ownership of complex features, mentor engineers, and influence technical direction while collaborating with cross-functional partners across Product, Design, DevOps, Data Engineering and other teams. 

Note: This position offers the opportunity for remote work or 'work from home' as there isn't a nearby office. However, GumGum is excited to only consider applicants residing in India.

What You'll Achieve

• Design, build, and deliver highly scalable and low-latency services in Java using Spring and distributed data systems.
• Architect solutions with a focus on performance, maintainability, and reliability.
• Integrate with supply-side and demand-side partners and enhance core exchange workflows.
• Work closely with ML and data teams to integrate optimization models into the exchange.
• Mentor engineers within the India team, contributing to technical growth and best practices.
• Write high-quality, testable, and well-structured code.
• Troubleshoot and resolve production issues and contribute to improving system stability and latency.
• Collaborate with Product and internal stakeholders to define and execute technical priorities.
• Optimize infrastructure usage and improve the efficiency of the exchange.
• Conduct detailed code reviews and contribute to maintaining high engineering standards.
• Build a deep understanding of the Ad Tech ecosystem to help influence engineering direction.
• Implement ad tech features, privacy frameworks, and external partner integrations.
• Contribute to internal documentation and knowledge sharing across global engineering teams.

Skills You'll Bring

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 6+ years of experience as an engineer with understanding of programming languages, preferably Java and Spring Framework
• A history of successfully shipping products into production
• Experience in taking ownership of end to end product implementation and providing stakeholder updates
• Preferred experience in a high volume transaction system > 100k transactions/second
• Experience in Ad Tech, CTV and Real-Time bidding is a plus
• Excellent communication skills and demonstrated ability to work with cross-functional teams across timezones, including remote collaboration
• Fast learner with excellent problem-solving skills in highly complex multi-threaded applications
• Experience working with AWS and distributed systems such as Kafka, Aerospike or equivalent large scale data storage/processing systems
• Experience with MySQL or similar RDBMS systems
• Analytical thinking and understanding complex logic
• An understanding of RTB (Real Time Bidding protocol)
• Experience working with Git, Gradle, and CI/CD delivery pipelines

The Role

Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. 

As part of the broader Addepar Data organization, the Alternatives Data Ops team is responsible for the human-in-loop review of Private Funds documents, ensuring clients’ Alternatives data is processed, validated, and available in Addepar in a timely manner. This role will include reviewing Private Fund statements, modifying data that has been incorrectly extracted by our machine learning models, and reprocessing the data within SLAs. The Alternatives Data Ops team plays a critical role in the success of Addepar’s Alternatives offering and requires daily communications with the Alternatives Product Team, Machine Learning Operations, clients, data providers (GPs and Fund Admins), and additional personnel across the organization.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Manage Alternatives Data processing for Addepar clients, which includes but is not limited to:
• Troubleshooting Private Fund statements (Capital Call Notices, Distribution Notices, and Capital Account Statements) processing exceptions captured by automated validation checks
• Modifying document data that has been incorrectly extracted by our machine learning models to reflect the correct Private Fund transactions and valuations information contained in the Private Fund Statements
• Partnering with our Machine Learning Operations team to identify and relabel documents for model retraining
• Engaging clients, GPs, or Fund Admins to address statement data related inquiries and issues
• Onboard new clients to determine and establish the ownership structure of clients’ Private Fund positions within Addepar
• Help maintain Alternatives Data Operations workflow procedures and play-books
• Partner with Sales, Account Managers, and Solutions Architects to drive alignment on account related issues and to ensure positive client outcomes
• Collaborate with Product and Engineering to implement new processes and tooling features that improve Alternatives Data processing UX and increase operational workflow efficiency

Who You Are

• Overall 2-10+ years of experience working in similar role
• Work experience in the financial investment/advisory industry with strong knowledge of capital markets, middle/back-office operations systems, and preferably with experience dealing with Alternatives (Private/Draw-down) Funds data, including knowledge of capital account statements, capital calls, and distribution notices
• Track record of demonstrating excellent attention to detail, effective problem-solving skills, and an ability to thrive in a fast paced environment.
• Outstanding communication and interpersonal skills for engaging clients, data providers, and internal stakeholders across Sales, Services, and R&D
• Highly self-motivated to take on responsibility, forward thinking and pragmatic, and possess a collaborative team-player mentality
• Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, and Salesforce
• Willing to work flexible hours

The Role

We are currently seeking a Senior Frontend Software Engineer to join the AI Platform team, Addepar’s next-generation AI platform that enables seamless insights and interaction through natural language and data intelligence across our AI products.

As a Senior Frontend Engineer, you’ll design and scale the interactive surface of AI Platform products. You’ll work at the intersection of AI, design, and systems engineering, building a class of real-time AI experiences for users — where every frame, token, and scroll behavior matters.

You will collaborate closely with product design, backend, and AI/ML engineers to deliver smooth, trustworthy AI experiences that align with Addepar’s standards of performance, transparency, and reliability.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Design and implement complex, real-time UI features for conversational interfaces — including chat streaming, incremental rendering, and dynamic layouts.
• Build high-performance WebSocket pipelines to handle streamed deltas, retries, and backpressure gracefully.
• Optimize scrolling and rendering performance using requestAnimationFrame, virtualization, intersection observers, and non-blocking state updates.
• Implement fault-tolerant UI logic for reconnection, cancellation, offline recovery, and retry without user disruption.
• Architect state management and caching strategies to maintain consistency between local UI and backend deltas.
• Collaborate with designers to deliver accessible, responsive, and pixel-perfect interfaces across themes and viewport sizes.
• Extend Addepar’s frontend developer experience—refine the build pipeline (Vite/Webpack), test automation (Playwright, Jest), and linting/formatting standards (ESLint, Prettier).
• Instrument client-side telemetry and performance metrics to measure render latency, streaming lag, and user interaction speed.
• Mentor teammates through design reviews and pair programming, contributing to shared components and cross-product standards.
• Work closely with backend and AI/ML teams to co-design message formats, token streaming APIs, and session-level resiliency mechanisms.
• Shape the technical direction of AI Platform’s frontend, contributing to shared libraries, caching strategies.

Technical Fundamentals & Practices -

We’re looking for engineers who demonstrate mastery across the following practices and system fundamentals that empower to ship high-quality, low-latency conversational experiences at scale:

Browser & Rendering Fundamentals : 

• • Deep understanding of the browser’s rendering pipeline—DOM, CSSOM, layout, paint, compositing.
  • Ability to identify and fix layout thrashing, paint storms, and jank through Chrome DevTools performance profiling.
  • Knowledge of animation scheduling via requestAnimationFrame, idle callbacks, and microtask queues.Familiarity with modern web APIs such as IntersectionObserver, ResizeObserver, MutationObserver, OffscreenCanvas, Web Workers, and BroadcastChannel for concurrent or cross-tab coordination.

Asynchronous & Streaming Systems:

• • Strong command of Promises, async/await, generators, and cancellation (AbortController).
  • Familiarity with streaming data protocols (e.g., WebSockets, SSE) and patterns like batching, throttling, and debounce under load.
  • Understanding of backpressure and how to pace UI rendering vs. message ingress.

State & Data Synchronization:

• • Experience designing immutable data flows with fine-grained updates (diffs, patches, deltas).
  • Knowledge of caching, reconciliation, and hash-based change detection (e.g., djb2, CRC32, content hashing).
  • Practices for ensuring consistency between transient client state and authoritative backend models.

UI Architecture & Composition:

• • Familiarity with reactive component frameworks (Svelte preferred; React/Vue acceptable).
  • Experience isolating side effects, using stores/signals, and maintaining predictable reactivity graphs.
  • Ability to decompose large applications into feature modules with lazy loading, error boundaries, and shared design tokens.
  • Ability to evaluate and integrate across frameworks (Svelte, React, Web Components) while maintaining consistent patterns in state, testing, and accessibility.

Performance & Profiling:

• • Proven skill in measuring and optimizing UI latency (first paint, input delay, FPS stability).
  • Comfort with Chrome Performance, Lighthouse, or custom performance markers.Experience building virtualized views (infinite scroll, chat lists, large tables).

Design Systems & Accessibility:

• • Experience building and maintaining reusable design systems with Storybook, Tailwind, or Web Components.Knowledge of accessibility standards (WCAG, ARIA) and best practices for keyboard, color, and screen reader support.Skilled at collaborating with design teams to translate high-fidelity Figma specs into performant, production-ready components.

Resilience, Testing & Observability:

• • Writes defensive code to handle partial data, dropped connections, race conditions, and AbortErrors.
  • Understands test pyramids: unit, integration, and end-to-end (Playwright, Jest, Vitest).
  • Adds telemetry hooks and log events to diagnose production issues and user experience regressions.

Developer Experience & Tooling:

• • Comfortable configuring bundlers (Vite, Webpack) and optimizing build times.
  • Sets up linting, type checking, and pre-commit automation for consistency.
  • Experience with CI/CD, incremental testing, and feature flag rollouts.
  • Experience with AI-assisted developer tools or scripting build/test automation to improve team velocity.

Mindset:

• • You think in systems, not pages. 
  • You balance aesthetics with performance, correctness, and maintainability. You obsess over the invisible details — micro-interactions, latency, and flow — that make complex products feel effortless. 
  • You enjoy teaching others, debugging difficult issues, and making the team move faster through better abstractions.

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
• At least 5 years of professional frontend development experience in a production environment.
• Strong proficiency in TypeScript/JavaScript and deep understanding of asynchronous browser behavior.
• Experience with Svelte, React, or another component-based modern UI framework.
• Strong debugging and performance profiling skills.
• Experience integrating real-time or streaming data into user interfaces.
• Strong communication, collaboration, and mentoring skills.
• Additional certifications or licenses
• Skills and competencies that also include soft skills necessary for success
• Bonus: Familiarity with AI/LLM-powered interfaces, progressive streaming UIs, or data-rich visualization frameworks.
• You care deeply about user experience, developer productivity, and measurable performance — and you know that excellence in frontend engineering is achieved through curiosity, rigor, and empathy for both users and teammates.

The Role

We are currently seeking a Senior Software Engineer, Backend to join the AI Platform team, which powers intelligent experiences across our AI products.

As a Senior Software Engineer, you’ll design, build, and ship services across a distributed microservices platform that supports capabilities such as document extraction, portfolio chat, and semantic retrieval capabilities. You’ll work across backend services, cloud-native data systems, async processing, and real-time streaming infrastructure, collaborating closely with frontend, product, and AI/ML engineers to deliver reliable and scalable backend systems.

This role is ideal for an engineer who thrives on solving hard backend problems, writes clean and tested production code, and can own features end-to-end in a fast-moving AI product team.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Design, build, and maintain backend services that power AI Platform products
• Develop production systems in Python or other modern backend languages and frameworks, with strong emphasis on maintainability, reliability, and performance
• Build and evolve REST APIs and/or gRPC services, including request validation, error handling, and versioning
• Design and maintain relational and/or NoSQL data models across systems such as MySQL, PostgreSQL, DynamoDB, and Redis
• Build and maintain asynchronous processing flows using queues and worker-based systems
• Work on real-time streaming features, retrieval workflows, and service communication patterns that support AI interactions
• Write strong automated tests, including unit and integration coverage, and contribute to CI-based quality gates
• Debug production issues across service boundaries using logs, metrics, and system reasoning
• Collaborate closely with frontend, product, and AI/ML teams to define API contracts and deliver end-to-end features
• Contribute to code reviews, system quality, and engineering standards across the team

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• At least five years of professional backend software engineering experience in production environments
• Strong proficiency in at least one production backend language such as Python, Go OR Java and the ability to work effectively across a polyglot environment
• Strong software engineering fundamentals, including system design, debugging, code quality, testing, and operational ownership.
• Experience building and maintaining REST APIs and/or gRPC services
• Experience with relational databases and/or NoSQL data stores in production systems
• Experience with asynchronous processing patterns such as queues, workers, retries, and failure handling
• Proficiency with Docker and familiarity with modern backend development workflows
• Strong testing discipline, including unit testing, integration testing, and mocking dependencies
• Experience building or operating services on cloud infrastructure in a production context
• Strong communication and collaboration skills, with the ability to work effectively across frontend, product, and AI/ML teams
• We are looking for a strong backend software engineer, not someone whose experience is limited to scripting, framework usage, or cloud configuration without corresponding depth in production systems engineering
• Familiarity or working knowledge of AWS will be a huge plus
• [Bonus] Experience with modern backend frameworks such as FastAPI, Flask, Spring Boot, Go service frameworks, or equivalent
• [Bonus] Experience with Redis, WebSockets, or real-time streaming systems
• [Bonus] Experience with LLM/AI integration, semantic retrieval systems, or token streaming
• [Bonus] Experience with observability tooling, structured logging, or Sentry/metrics systems
• [Bonus] Experience in fintech or regulated domains

Overview of Role

As a Solution Consultant, you will work closely with Sales, Engineering, and Service Delivery teams to ensure our customers are achieving successful implementations. You will be responsible for crafting robust architectural proposals and delivering Statements of Work (SOWs) that engineering teams can successfully execute. Through your collaborative interactions with our teams and clients, you’ll have an active role in shaping our customer’s experience from start to finish.

In partnership with the sales team, you will formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of the Google Cloud Platform. As a trusted customer advocate, you will help customers understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to these solutions. Additionally you will educate customers of all sizes on the value proposition of Cloud and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud or on-premise as needed.

Responsibilities

• Collaborate with sales and engineering teams to understand customer requirements and develop tailored cloud solutions using Google Cloud Platform services.
• Build strong relationships with key stakeholders and decision-makers to drive customer success and satisfaction.
• Specify the deliverables of services projects by developing detailed project Statement of work (SOWs).
• Put on consulting hat during stakeholder engagements and drive full stack thinking around both business and technology levers
• Assist the sales team with the preparedness and delivery of technical presentations, estimations, and Statements of Work.
• Be a technical and business consultant to our clients before, during, and after implementations.
• Differentiate 66degrees products and services from our competitors by understanding the market and industry intimately.
• Design and propose custom cloud based solutions for clients based on your research and their needs.
• Prepare demonstrations and proof of concept environments based on client requirements.
• Act as a technical resource for our team by continually bringing value and an innovative mindset to our projects.
• Assist with and perform deliverable work for clients to gain first-hand experience with solutions. 
• Embrace 66degrees team mentality by providing our team general support on new products and technology in the market.

Qualifications 

• 3+ years of experience working within Google Cloud Platform (GCP) or Azure/AWS; GCP Preferred.
• Professional level certification in GCP is required within first 90 days of employment.
• Experience strategizing, designing, architecting, and leading the deployment of scalable solutions on GCP, strongly preferred. 
• Experience with traditional and cloud infrastructure as well as cloud migrations.
• Experience with the primary managed data services within GCP, including Cloud Bigtable, Cloud Spanner, Cloud SQL, or BigQuery.
• Experience with using AI Platform, GE Agent Platform, Agent Studio, or BigQuery ML to manage and deploy machine learning models.
• Specify the deliverables of services projects by developing detailed project scopes of work (SOWs); Assist sales team with preparedness and delivery of technical presentations, estimations, and Statements of Work.
• Experience with container engines: Kubernetes, Docker, AWS Elastic Container Service.
• Experience with automation technologies including Terraform, Google Cloud Deployment Manager, AWS Cloud Formation or Microsoft Azure Automation
• Experience working with engineering and sales teams to elicit customer requirements.
• Ability to communicate across business units and the ability to interface with and communicate complex technical concepts to a broad range of internal and external stakeholders
• Advocate and demonstrate the value of the Google Cloud and service offerings to prospects.
• India: Willingness to work 12.30pm to 9.30pm IST shift for overlap with global team. 

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

66degrees Software Engineers within the Innovation team are catalysts for future growth. You will leverage your strong development foundation to explore emerging technologies, identify new opportunities, and rapidly prototype high-impact "accelerators" and minimum viable products (MVPs) for our clients. Partnering with cross-functional experts in AI, data, and cloud engineering, you will move beyond mission-critical application delivery to actively shape the next generation of intelligent enterprise solutions. This role is for a highly motivated and exploratory individual passionate about turning complex challenges into clear, quantifiable outcomes and driving new value for the business.

Responsibilities

• Design, develop, and maintain end-to-end full stack applications, combining scalable backend systems with intuitive frontend interfaces.
• Build and manage data-heavy backend systems, with a strong focus on data engineering, data warehousing, and data modeling.
• Develop and maintain ETL/ELT pipelines using Python to ingest and process data from structured and unstructured sources into cloud data platforms.
• Create responsive and high-performance user interfaces using React.js, enabling rich data visualizations and seamless user interactions.
• Work with Big Data technologies and cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient data processing at scale.
• Leverage cloud platforms (GCP) and services like Cloud Run, Cloud Functions, or equivalent to build and deploy scalable microservices.
• Collaborate with cross-functional teams (AI, Data, Cloud, Product) to translate business requirements into scalable technical solutions.
• Implement CI/CD pipelines, automated testing (TDD), and best engineering practices to ensure high-quality and reliable software delivery.
• Experiment with and implement AI/ML and Generative AI use cases, contributing to rapid prototyping of MVPs and accelerators.
• Continuously explore emerging technologies and contribute to innovation-driven product development within the organization. 

Qualifications

• 3–8 years of experience in full stack development with strong expertise in Python (backend) and React.js (frontend).
• Hands-on experience in Data Engineering, Data Warehousing, and processing large-scale datasets (e.g., BigQuery, Snowflake).
• Strong understanding of ETL/ELT pipelines, data modeling, and data architecture principles.
• Experience working with cloud platforms (GCP preferred, AWS/Azure acceptable) and deploying scalable applications.
• Familiarity with Big Data ecosystems and distributed data processing frameworks is a plus.
• Working knowledge of REST APIs, microservices architecture, and backend system design.
• Proficiency with Git, CI/CD pipelines, and Agile/Scrum methodologies.
• Exposure to or strong interest in AI/ML and Generative AI technologies (LLMs, prompt engineering, etc.) is highly desirable.
• Strong problem-solving skills and analytical thinking, with the ability to work on ambiguous and evolving requirements.
• Excellent communication and collaboration skills, with the ability to bridge technical and business perspectives.
• Demonstrated learning mindset, adaptability, and curiosity, with exposure to diverse technologies or domains being a plus.

We value candidates who demonstrate a balance of technical depth (data/backend) and breadth (frontend, AI, product thinking), along with a strong attitude and willingness to learn.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

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

The Senior IT Process Analyst is responsible for designing, implementing, and operationalizing advanced AI-driven solutions to improve IT Service Management (ITSM) processes and tool efficiency. This role serves as a technical AI authority and evangelist, applying Machine Learning, Natural Language Processing (NLP), Generative AI, and predictive analytics to enhance decision-making, automation, and operational outcomes within ITSM practices.

The position focuses on translating complex operational data into explainable, scalable, and production-ready AI solutions, integrating these capabilities into enterprise ITSM tools through API-based architectures. The role supports continual process improvement by embedding AI insights into daily ITSM operations, governance forums, and performance management practices.

Duties and Responsibilities

• Design and implement AI and ML solutions to optimize ITSM processes and operational decision-making.
• Apply machine learning techniques (classification, clustering, anomaly detection) to ITSM data.
• Develop NLP models for analysis and automation of ticket, change, and knowledge data.
• Integrate Generative AI / LLM capabilities for summarization, recommendations, and content generation.
• Perform feature engineering and data preprocessing on noisy and incomplete ITSM datasets.
• Build predictive models for risk assessment, failure prediction, and trend analysis.
• Implement rules-based and AI hybrid decision models with confidence scoring.
• Monitor, evaluate, and continuously improve AI model performance in production.
• Integrate AI solutions into ITSM platforms using API-based architecture.
• Apply Explainable AI techniques to support transparency and operational trust.
• Act as an AI subject matter expert, supporting adoption, documentation, and knowledge transfer.

Qualifications & Skills

Required

• Bachelor’s Degree with 6–10 years of experience in AI, Machine Learning, Data Science, or related technical fields.
• Hands‑on expertise in Machine Learning, Natural Language Processing, and Generative AI / Large Language Models.
• Strong experience in feature engineering, predictive modeling, and data quality management.
• Proficiency in Python and SQL for analytics, model development, and ITSM data analysis.
• Experience with JSON, YAML, and JavaScript / TypeScript for API integration and service orchestration.
• Proven ability to integrate AI solutions into enterprise platforms using RESTful, API‑based architectures.
• Experience in AI model evaluation, monitoring, and continuous improvement.
• Knowledge of Explainable AI (XAI) for transparent operational decision support.

Preferred

• Experience with ServiceNow or ITSM platforms.
• Familiarity with MLOps and AI governance.
• Knowledge of ITIL-based ITSM processes.

Ensono is an equal opportunity employer and is committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.

•Are you curious, excited by experimentation and always looking to innovate?
•Do you want to work in embedded payments where you can keep learning and developing whilst getting hands-on experience?
•Do you want to have the opportunity to play an important role in a rapidly growing and exciting Fintech business?
If so, we would love to connect and collaborate!

About us
At Modulr, our vision is a world where all businesses are powered by embedded payments. Modulr enables businesses, from SMEs to Enterprise, initially across the UK and Europe to efficiently pay-in, collect and disburse funds instantly via a range of payment schemes, accounts, and card products.
We have created an industry-leading API platform with comprehensive online tools and access, to meet the demands of daily business payments. We have two routes to market. Our Core Business Payments product allows customers in any sector to connect to us and our expanding network of accounting and payroll platforms, including Sage, Xero, BrightPay and IRIS to automate payments. Our Vertical Solutions targets a growing range of industry verticals which directly connect their IT platforms to our APIs and webhooks. We solve complex payment problems for hundreds of clients in a range of industries, including Travel, Lending, Wage Advance, and Investment & Wealth.
We are deeply integrated into the payment eco-system. In the UK, we are direct participants of Faster Payments and Bacs. Modulr hold settlement accounts at the Bank of England. Our payment network connectivity includes CHAPS, Open Banking, SEPA, SWIFT and account issuance in multiple currencies. We are principal issuing members of Visa and Mastercard schemes across UK and Europe. Our regulatory permissions and governance structure are the foundations of our business. We are regulated and supervised as an Authorised Electronic Money Institution (AEMI) in the UK by the Financial Conduct Authority and in the Netherlands by De Nederlandsche Bank.
Our founding team has a wealth of experience in the payments industry and growing successful businesses. Modulr is backed by the venture arms of payments giants PayPal and FIS, as well as growth investors Blenheim Chalcot, General Atlantic, Frog Capital and Highland Europe.
Modulr now has over 400 employees spread globally across offices in London, Edinburgh, Amsterdam, and Mumbai.

Modulr values
•Building the extraordinary; going that extra mile.
•Owning the opportunity; be passionate and proud of the time you invest.
•Move at pace; reach goals faster whilst supported on your career journey.
•Achieve it together, working collaboratively and being a Modulite.

About the Role:
We are looking for a passionate Data Scientist with 2–3 years of experience to build ML/DL and Generative AI solutions for high-impact financial use cases.

Key Responsibilities:
• Develop ML/DL models for fraud detection, risk scoring, and personalization
• Build and deploy GenAI applications using LLMs
• Design and implement Agentic AI workflows
• Work with LangChain and LangGraph for orchestration
• Use tools like Claude, Cursor/CoPilot for AI-assisted development
• Implement monitoring using LangSmith
• Build APIs for model deployment
• Collaborate with cross-functional teams
• Maintain MLOps pipelines and CI/CD workflows

Key Requirements:
• 2–3 years experience in Data Science / ML / DL
• Strong Python skills
• Experience with ML frameworks (PyTorch, TensorFlow, XGBoost)
• Hands-on with GenAI, LLMs, prompt engineering
• Experience with LangChain, LangGraph
• Familiarity with Agentic AI concepts
• Exposure to tools like Claude, Cursor/CoPilot
• Experience with LangSmith for debugging/monitoring
• Knowledge of APIs, FastAPI/Flask, Docker
• Experience with MLOps tools (MLflow, DVC)
• FinTech domain experience preferred

ModInclusion 

We believe that by seeing Modulr, and the world, from all sorts of angles, we can make life better for all.​ We want you to know that the things that make you, you — like your identity, age, ability, and background — are things that we will always celebrate and support with open arms.  As such, we are keen to maximise the diversity of our workforce and actively encourage applications from anyone and everyone.

Position Overview

The Supply Chain Orchestration Knowledge Expert is a domain and subject matter expert responsible for developing, structuring, and maintaining the messaging and positioning and subsequent knowledge artifacts that power TraceLink’s Agentic Orchestration Solutions (AOS) go-to-market execution, field team enablement campaigns, and AI-driven experiences for both the customer personas and TraceLink field teams.   

Each Supply Chain Orchestration Knowledge Expert serves as the global owner of a supply chain orchestration domain—such as Manufacturing, Commerce, Logistics, or Transportation—and builds the messaging and positioning frameworks, insights, and artifacts that support executive-level conversations across all relevant customer segments.

This is a unique role combining industry analysis, supply chain orchestration, product expertise with strategic storytelling, knowledge artifact creation, and curation for executive buyer experiences.

Responsibilities

Supply Chain Orchestration Domain Expertise

• Serve as TraceLink’s subject-matter expert for a specific supply chain orchestration supporting Product Marketing, Demand Gen, Content, Sales Enablement, and Sales

• Build a deep understanding of end-to-end processes, personas, pain points, business value, and the life sciences and healthcare supply chains ecosystem.

• Participate in select cross-functional teams and executive engagements as required.

Strategic Narratives, Messaging, and Positioning

• Develop strategic narratives, messaging, and positioning of TraceLink products and solutions targeting executive personas - specifically the CIO.

• Create and maintain competitive differentiation and positioning against alternative solutions.  

• Continuously monitor the effectiveness of messaging through routine engagement with field teams, customers, and prospects.

AI and LLM Buying Experiences

• Build and maintain an LLM-ready messaging framework with modular, metadata-tagged positioning and value narratives.

• Ensure taxonomy alignment and version control so messaging remains consistent, current, and easily ingested by the LLM.

• Curate and govern the product and industry knowledge corpus to deliver accurate, compliant, and authoritative model outputs.

• Design executive-ready LLM experiences using prompt patterns, scenarios, and value-story templates for internal enablement and external buyer interactions.

Deliverables and Key Knowledge Artifacts

• Create and maintain a standard set of knowledge artifacts that inform and drive the executive interactions, field team enablement, and LLM-driven experiences, including but not limited to:

  • Domain Messaging & Positioning Playbook capturing value pillars, executive narratives, persona messaging, and competitive differentiation.

  • LLM-Ready Messaging Framework & Metadata Schema defining modular message objects, taxonomies, and canonical terminology for model ingestion.

  • Curated Knowledge Corpus Library, including process maps, capability descriptions, deal reviews, win stories, case studies, industry insights, and glossary of terms.

  • Executive Buyer Narrative Decks tailored for CIO, COO, and VP-level personas with business cases, ROI framing, and transformation stories.

  • Competitive Landscape & Differentiation Dossiers analyzing alternative solutions with scenario-based differentiation and objection-handling modules.

  • LLM Prompt Patterns, Conversation Flows, and Experience Blueprints enabling consistent, high-credibility internal and external AI-driven interactions.

  • Field Enablement Knowledge Packs providing talk tracks, use-case stories, objection handling, value frameworks, and LLM-powered microlearning assets.

Skills and Qualifications

• 3 - 5 years in a product management, product marketing, solution consulting, or analyst roles with a specific focus on life sciences manufacturing, logistics, and/or adjacent roles.

• Exceptional writing and presentation skills, especially for senior executive audiences.

• Ability to create clear, structured narratives from ambiguous or highly technical information.

• Experience producing content such as briefs, whitepapers, frameworks, or strategic analyses.

• Ability to develop insights, messaging, positioning, and competitive analyses that support commercial teams.

• Familiarity with large language models (LLMs), conversational AI, or retrieval-augmented systems.

• Experience in structuring and tagging content for AI/ML consumption is a plus.

• Ability to work cross-functionally with Product, Marketing, Sales, Solution Consulting, Value Engineering, and Services teams.

Education: Bachelor’s degree or equivalent professional experience required.

Travel: Ability to travel up to 25-40% as required by business needs.

Pico is a rapidly expanding Fintech company that offers innovative, transparent, low-latency markets solutions from a portfolio of best-in-class products coupled with an agile and expert service delivery platform.  We help our clients to efficiently scale their business and quickly access global financial markets. From infrastructure to connectivity, we support our clients through the full trading lifecycle.  We are a global company headquartered in New York, with various international offices including, London, Dublin, Madrid, Krakow, Singapore and Tokyo.

THE ROLE - Senior Full Stack Engineer

This is a great opportunity to work in a small close-knit team, collaborating with other teams, on a world class analytics platform, to deliver new updates, visualisations, and integrations in a responsive and agile environment.

You will be exposed to the full product lifecycle, designing, developing, and testing new features for our product, features that involve both server side and front-end development as well as integrations with Pico, or 3^rd Party APIs over REST or SOAP. Past collaborations with other teams have included working with our Data Science team to deliver cutting-edge Machine Learning based features to customers.

Our front-end stack is built up using Web Components and Angular, backend integrations with Python and Java, in a modular implementation environment, to enable making immediate and meaningful additions to the feature set of the product.

REQUIRED SKILLS

• Experience developing in a Unix environment using Python and Java
• Automated unit-testing and integration testing
• Building modular UI Elements using Web Components (i.e. StencilJS) or Angular/React
• Experience with RESTful web services
• Knowledge of UI design principles, web standards, and cross browser capabilities
• Experience working in an Agile development environment
  
  

DESIRABLE SKILLS

• Experience with web-services using SOAP.
• Data visualisation techniques
• Knowledge and use of SQL (or similar query language)
• Sound knowledge of design patterns and designing with abstractions.
• Experience with automated build systems and SCM systems incl. GIT
  
  

PERSONAL ATTRIBUTES

• Excellent analytical and problem-solving skills – able to propose several viable solutions to complex problems and be able to evaluate the best alternative and estimate the work required.
• Passionate about technology, design, and quality – able to write high quality code together with appropriate tests proving functionality works as expected.
• Can quickly grasp and learn new technologies and techniques.
• Have excellent communication skills – you can make clear and meaningful contributions to white board design discussions and offer innovative solutions to complex problems as well as contribute insights from past experiences.
• Able to offer concise and regular updates on progress and can highlight issues that might affect progress to allow preventative action to be taken.

Working Arrangements

This is a Hybrid position with [weekly time in the office with the flexibility of working from home]. Though travel may be required from time to time, it is not expected to be regular or frequent. The role holder will be expected to work whatever hours are necessary for the performance of this role (recognizing that it involves multiple jurisdictions/geographies including but not limited to EMEA, USA and APAC). 

IMPORTANT DATA PRIVACY INFORMATION: 

This position is available with  PICO TECHNOLOGY INDIA PRIVATE LIMITED . The controller of your personal data will be PICO TECHNOLOGY INDIA PRIVATE LIMITED.

For further information on what personal data we collect, how we will process your personal data and your rights with respect to your personal data please read our Pico Job Candidate Privacy Notice, View Here.

Job Title:

Senior Engineering Manager, Data Platform & AI

Why Kaseya?

Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a high-impact role.

Job Summary

We’re hiring a Senior Engineering Manager to lead the development of our data platform and API layer supporting Kaseya’s unified intelligence initiatives. This role is responsible for building and scaling systems that power analytics, automation, and AI-driven features across our product portfolio. You’ll lead a team of engineers, drive delivery of platform capabilities, and work closely with Product and Architecture to turn business needs into reliable, scalable systems. Success in this role means delivering high-impact platform services while improving team execution and system performance over time.

Roles & Responsibilities

• Lead a team of engineers to deliver data platform, API, and AI-related services aligned to product and company priorities
• Own delivery of key platform initiatives, ensuring systems are scalable, reliable, and meet performance expectations
• Work with Product and Architecture to define technical approaches and break down requirements into deliverable work
• Drive engineering standards across the team, including code quality, testing, and operational practices
• Partner with cross-functional teams (Product, GTM, Security, Legal) to support delivery and adoption of platform capabilities
• Improve system performance and reliability through monitoring, incident response, and ongoing optimization
• Support modernization efforts, including reducing technical debt and improving development velocity
• Track and report on delivery, system performance, and operational metrics for owned services

Required Qualifications

• 10+ years of software engineering experience, including building and operating distributed systems in production
• 3+ years of experience managing engineering teams (hiring, performance management, delivery ownership)
• Hands-on experience building or supporting data platforms, API platforms, or backend systems in a cloud environment (AWS, Azure, or GCP)
• Experience delivering production systems that handle large-scale data processing or high-throughput APIs
• Ability to translate product requirements into technical plans and deliver against defined timelines

Preferred Qualifications

• Experience working with data pipelines, analytics platforms, or AI/ML systems
• Experience building or supporting customer data platforms or telemetry systems
• Familiarity with microservices architecture and event-driven systems
• Experience improving engineering processes and team efficiency in a growing organization
• Experience working in cross-functional environments with Product, Security, and GTM teams
• Background in SaaS or platform-based products

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

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.

Job Summary

This is an exciting opportunity to join a friendly team working on some of the hottest AWS technologies. This team is primarily focused on the deployment, automation and support of mission-critical client solutions in AWS.

You will be working on a variety of projects and environments for household names using the latest technology including AWS, Terraform, Ansible, Powershell, Datadog, Jenkins, Bitbucket, Jira, Containers etc.   Learning, collaborating, training and certification are strongly encouraged, and opportunities to do so will be provided.

The successful candidate will be someone who can demonstrate a genuine desire and passion for AWS, client service and automation.

Key Responsibilities:

• Act as the lead engineer on large or complex client deploy projects
• Act as the lead engineer on product engineering projects to further develop our service
• Provide AWS subject matter expertise advice and assistance to pre-sales architects
• Installation, configuration, and ongoing management of O/S and AWS services.
• Implementing and maintaining custom client machine images and centralised configuration management to enable quick repeatable builds and auto-scaling.
• Maintaining high availability through proactive measures.
• Troubleshooting and resolving complex technical issues.
• Ensuring clients & partners are updated on current status of work and issues.
• Raise, investigate and resolve problems and known errors in line with the problem management process.
• Ability and willingness to proactively improve ways of working, automation and processes via our continual improvement Kanban board.
• Partake in an oncall rota to provide 24x7 4^th line support for Ensono’s AWS clients.
• Proactively keep up to date on AWS services and developments.
• Buddy new members of the team and train other teams
• Act as team leader and technical escalation point in Manager’s absence

Skills and Experience:

• 8+ years’ experience in supporting highly customer-focused mission critical environments (e.g. high profile websites or enterprise infrastructure) essential.
• 3+ years’ experience of engineering, architecting, or supporting AWS solutions.
• Excellent O/S knowledge and experience in Linux or Windows with basic knowledge of the other. MCSE/RHCE or equivalent level of knowledge preferred.
• Experience of implementing and supporting AWS based instances and services (e.g. EC2, S3, EBS, ELB, RDS, IAM, Route53, Cloudfront, Elasticache, WAF etc.).
• Hold a number of current AWS Associate and Professional level Certifications
• Hold at least one AWS Certified Speciality certification (e.g. Security or Networking )
• Experience of building and maintaining scalable and auto-scaled environments using automation and configuration management tools (e.g. Cloudformation/Terraform and Ansible) beneficial or can be gained.
• Scripting ability in one or more of Python, Powershell, Bash, Perl
• Experience of using Git for version control useful
• Experience of working with or supporting containerized environments (ECS/EKS/Kubernetes/Docker)
• Experience of Jenkins or other CI/CD pipeline technology useful or can be gained.
• Good knowledge of TCP/IP.
• A degree in a computing-related discipline preferred or equivalent ability and knowledge.
• Excellent written and verbal communication skills.
• Experience working in an ITIL environment beneficial.
• Desire to continually grow, develop and improve.
• Must be self-motivated, a self-starter and possess a good working attitude
• Client focused and results driven
• Able to implement supportable solutions and make the complex simple.
• Able to perform as a role model within the team.

Shift Timing: 5:30 PM to 2:30 AM

About HG Insights

Headquartered in Santa Barbara, California, HG Insights is the global leader in technology intelligence. We help the world’s most innovative companies accelerate their go-to-market efforts with precision through advanced data science methodologies and proprietary data assets. We offer a culture that blends innovation, collaboration, and growth, where each team member is empowered to make a measurable impact.

Role Overview

We are looking for a Staff/Senior Machine Learning Engineer to join our growing AI and Data Platform team in Pune, India. In this role, you will be responsible for designing, building, and scaling ML systems that power our core data intelligence products. You’ll work at the intersection of data engineering and machine learning, collaborating closely with data scientists, software engineers, and product teams to turn models and agents into robust, production-ready systems.

This is a high-impact role suited for someone who thrives on ownership, scalability, and deploying real-world ML and AI solutions at scale.

Key Responsibilities

ML & AI System Development

• Design and build end-to-end ML pipelines, from data ingestion and feature engineering to model training, serving, and monitoring.
• Productionize AI agents, including LLM-backed workflows, multi-step tool use, and API orchestration.
• Collaborate with data scientists to bring experimental models into stable, high-performing production systems.
  
  

MLOps & Infrastructure

• Implement and maintain MLOps workflows (CI/CD for ML), tracking experiments, managing model versions, and automating retraining.
• Set up observability for models and agents, including tracing, logging, latency/error tracking, and fallback logic.
• Ensure infrastructure supports scalability, performance, and compliance requirements.
  
  

Technical Leadership & Collaboration

• Lead technical architecture for key AI and ML systems, ensuring maintainability and extensibility.
• Partner with product and platform teams to translate business needs into reliable and performant ML solutions.
• Mentor junior engineers and help elevate technical practices across the engineering org.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of industry experience, with at least 4+ years in ML engineering or MLOps.
• Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
• Experience deploying AI agents in production, including retrieval-augmented generation (RAG), multi-step reasoning, and tool-use orchestration.
• Familiarity with LangChain, LlamaIndex, Haystack, or similar frameworks for agent development.
• Hands-on with LLMs (OpenAI, Anthropic, Cohere, etc.), embedding models, and vector store integration.
• Expertise in MLOps tools like MLflow, Airflow, SageMaker, or Kubeflow.
• Experience with cloud platforms (preferably AWS), Docker/Kubernetes, and large-scale data systems (e.g., Snowflake, Databricks).
• Excellent problem-solving and system design skills, including CI/CD, testing, and infrastructure-as-code.
  
  

Preferred Qualifications

• Experience with streaming pipelines, online inference, and model monitoring at scale.
• Exposure to agent memory, feedback loops, or AI workflow orchestration in customer-facing products.
• Prior contributions to open-source ML or LLM projects are a plus.
  
  

Why Join HG Insights?

• Work on high-impact AI products used by global enterprise customers.
• Lead the ML engineering strategy and shape our AI platform.
• Competitive compensation and benefits tailored for India-based employees.
• A collaborative and innovation-focused team environment.
  
  

Ready to build the future of AI infrastructure? Apply now to join HG Insights as a Staff Machine Learning Engineer in Pune.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP preferred), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
• Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?

As a Data Scientist, your primary role revolves around leveraging Python and SQL to conduct data science modelling, employing statistical and machine learning algorithms to derive actionable insights. Your responsibilities will encompass:

• Data Modeling: Developing and implementing sophisticated data science models to extract valuable insights from complex datasets.
• Algorithm Implementation: Applying statistical and machine learning algorithms to solve business problems and enhance decision-making processes.
• Visualization: Utilizing visualization tools like Tableau and PowerBI to present findings in a compelling and understandable manner.
• Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability.

What we are looking for?

• Proficiency in Python, SQL, data science modeling, and statistical analysis.
• Strong grasp of ML algorithms and their implementation in real-world scenarios.
• Experience in visualization tools like Tableau and PowerBI, along with knowledge of deploying models on cloud platforms (MS Azure, GCP, AWS).
• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
• Successful candidates often possess Computer Science, Electronics and Communication Engineering degrees.

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

In this role, you will:

Job Summary:

About the Role We are seeking an experienced GCP Lead to spearhead cloud data architecture and delivery on Google Cloud Platform (GCP). In this leadership role, you will design, implement, and optimize scalable data pipelines using BigQuery, Pub/Sub, and ETL frameworks, while driving stakeholder alignment across engineering, product, and business teams. The ideal candidate thrives in fast-paced environments, mentoring teams on GCP best practices and ensuring seamless data-driven solutions for enterprise clients. Key ResponsibilitiesLead end-to-end GCP data platform implementations, focusing on BigQuery for analytics, Pub/Sub for real-time messaging, and ETL pipelines using Dataflow, Composer, or custom tools.Architect and optimize high-volume data ingestion, transformation, and querying workflows to support business intelligence and ML workloads.Collaborate with cross-functional stakeholders—including product owners, data scientists, and executives—to gather requirements, define roadmaps, and deliver value through clear communication and presentations.Mentor junior engineers on GCP services, conduct code reviews, and enforce best practices for security, cost optimization, and scalability.Troubleshoot complex issues in production environments, perform performance tuning, and integrate with hybrid/multi-cloud setups.Drive migration projects from on-premise or other clouds (e.g., AWS/Cloudera) to GCP, ensuring minimal downtime and data integrity.

Required Qualifications10-12 years of total experience in IT/cloud consulting, with at least 5+ years hands-on with GCP (BigQuery, Pub/Sub, Dataflow/ETL).Bachelor's or Master's degree in Computer Science, Engineering, or related field.Proven track record leading GCP projects with measurable outcomes (e.g., reduced ETL latency by 40% or scaled Pub/Sub to millions of events/sec).Strong communication skills for stakeholder management, including executive presentations and agile ceremonies.GCP certifications (e.g., Professional Data Engineer, Professional Cloud Architect) preferred.Preferred SkillsExperience with Dataproc, Vertex AI, or integration with tools like Snowflake/Databricks.Familiarity with CI/CD (Cloud Build), IAM, and monitoring (Cloud Monitoring/Logging).Knowledge of data governance, compliance (GDPR), and cost management in GCP.

So, what’s the role all about?

As a Senior Specialist Professional Services Engineer, you will be part of a dynamic, customer-facing team focused on the delivery and implementation of NICE Actimize Financial Crime Prevention solutions for leading financial institutions. This role provides exposure to key regulatory domains including AML, Payment Fraud, and Trading Compliance. You will be responsible for developing, configuring, and customizing Actimize product offerings while collaborating with SE Leads and implementation teams to deliver intelligent and innovative solutions.

How will you make an impact?

NICE Actimize is the industry leader in Financial Crimes and Compliance. At NICE, we continually push boundaries, challenge limits, and operate with ambition and excellence. As part of this team, you will bring your best every day, designing and implementing high-impact solutions that help major financial institutions prevent fraud, ensure compliance, and strengthen risk operations.

• Develop, configure, and customize Actimize software features per design and enterprise standards.
• Collaborate in multi‑disciplinary environments with Architects and Business Analysts using waterfall and agile methodologies.
• Work independently to complete complex development and configuration tasks.
• Support customers by troubleshooting and resolving functional issues.
• Interface with R&D, Professional Services, and Customer Support teams.
• Implement and configure new applications, set up new environments, and deploy solutions.
• Contribute to internal tools and utilities enabling engineering teams to operate efficiently at scale.
• Work occasionally onsite or across different time zones as required.
• Perform detailed troubleshooting, analysis, and debugging in enterprise environments.
• Manage complex database environments (Postgres, MS SQL) handling large data volumes.

Have you got what it takes?

• Strong understanding of end‑to‑end application workflows.
• Hands‑on expertise with SQL, Postgres DB, and managing large datasets.
• Strong analytical, debugging, and problem‑solving skills.
• Quick learner with excellent communication skills.
• Experience developing within complex database environments (Postgres, MS SQL).
• Exposure to Unix and basic command-line operations.
• Ability to independently develop and configure enterprise‑grade software features.
• High attention to detail with effective task management and planning.
• Understanding of scalable, secure, multi‑user coding concepts.

Plus, but not mandatory

• Experience or knowledge in Actimize development.
• Professional Services / Implementation exposure.
• DevOps knowledge (Kubernetes, Docker, Pods).
• AI/ML solution design and deployment experience.

Business Impact

• Holds full development and deployment responsibility as an Individual Contributor.
• Displays strong conceptual thinking and professional discretion.
• Applies independent judgment in resolving complex technical issues.
• Able to analyze and resolve problems of moderate scope using varied inputs.

Qualifications / Education

• BE/B.Tech with 5–7 years of relevant professional experience.

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

 Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10236
Reporting into: Tech Manager
Role Type: Individual Contributor

So, what’s the role all about?

The Senior Specialist Software Architect is responsible for providing technical leadership across development teams in one or more functional areas. This position is ultimately responsible for the successful implementation of key deliverables to ensure that each release is designed with high availability, scalability, serviceability and supportability in mind.

How will you make an impact?

• Set the end-to-end technical direction for the team, including platform, technology, tools, and infrastructure.
• Communicate architecture in an effective and professional manner.
• Drive technical decisions, solve tough problems, and coordinate multiple project execution.
• Ensure that the Development coding quality standards and review processes are followed to ensure proper security and high availability standards.
• Monitoring the quality of code that is delivered by your team through reviews and other processes.
• Foster strong team work environment and create passion and energy within the team.
• Be an active participant in the development leadership team ensuring corporate success.
• Represents self and department with professionalism and competence.
• Follow the company Code of Ethics and policies and procedures at all times
• Overall responsibility for platform architecture, establish well architected and designed solution. Working with several scrum teams and actively involved in the design of multiple features in parallel. Mentor and develop architects, engineers and Involvement in hiring great engineers.
• Drive the architecture of a project/product line, including authoring functional and design specifications, scalability, security, data flow, and interface.
• Identify impact of new technologies on our products and communicate to development teams.
• Conduct architectural and design reviews and code reviews
• Evaluate new technologies/innovations and industry trends.
• Intentionally drives business value through architectural innovation

Have you got what it takes?  

• 12-16 years of software development experience
• About 3 years’ experience as an architect for AWS Cloud-SaaS-multi tenant applications.
• Experience designing multi-tiered service-oriented applications and microservices, REST, Event Driven Architecture
• Development experience with Web development technologies (JS, HTML5, CSS3, Vue/Angular/React/Polymer)
• Development experience with Java and Spring family of frameworks
• Working Knowledge of design patterns, methodologies and architectural styles
• Experience in database design, Data APIs, Batches/Big Data
• Experience with databases like Oracle, Postgres, MS-SQL
• Experience with Containerization Services like Docker, Kubernetes
• Experience with Kafka, Rabbit MQ
• Experience with AI/ML development or usage will be a big plus
• Experience with NoSQL DBs will be an advantage.
• Development experience of securing all tries of the application.
• Exposure to Performance Engineering, Cloud SLA, Availability, resiliency will be a plus
• Experience of APM tools like Datadog or Dynatrace will be an advantage
• Technically Savvy, Influencer and Learner
• Experience using Test Driven Development, Continuous Integration, and Test Automation   

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

 Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID : 9639

Reporting into: Director
Role Type: Individual Contributor (IC)

What’s the role all about?

As a Specialist Engineer, you will be a technical leader and mentor, guiding engineering teams in designing, developing, and delivering scalable, high‑quality solutions. You’ll make critical architectural decisions, drive adoption of AI‑powered development practices, and ensure the team leverages advanced tools like GitHub Copilot to maximize productivity. This role combines hands‑on technical expertise with leadership responsibilities, enabling you to shape the future of our products and engineering culture.

 How will you make an impact?

• Lead technical architecture design and ensure alignment with product strategy and business goals.
• Guide and mentor engineers in best practices, coding standards, and system design.
• Design and develop scalable, secure, and high‑performance solutions across backend, cloud, and UI components.
• Champion the use of AI for automation and development, including advanced applications of GitHub Copilot.
• Evaluate and adopt emerging technologies to strengthen system reliability and innovation.
• Collaborate with cross‑functional teams (Product, R&D, DevOps, QA) to deliver end‑to‑end solutions.
• Drive DevOps excellence through CI/CD pipelines, automated testing, and cloud deployment strategies.
• Own technical decisions and provide clear rationale for architectural trade‑offs.
• Troubleshoot complex production issues with accountability and foresight.
• Foster a culture of continuous learning, innovation, and technical excellence.

 Have you got what it takes?

• 8–12 years of hands‑on experience in software engineering and system design.
• Proven expertise in architectural decision‑making and guiding engineering teams.
• Strong programming skills in Java, Python, and proficiency with cloud platforms (AWS preferred).
• Deep understanding of AI/ML concepts and practical experience integrating AI into development workflows.
• Advanced knowledge of GitHub Copilot and other AI‑driven development tools.
• Experience with modern UI frameworks (Angular, React, Vue).
• Solid grasp of data structures, algorithms, and distributed system design.
• Familiarity with CI/CD pipelines, Git, Jenkins, Docker, Kubernetes.
• Excellent analytical, problem‑solving, and communication skills.
• A proactive leader with strong ownership, curiosity, and a drive to innovate.
• Ability to collaborate effectively within global, cross‑functional teams.

 What’s in it for you?

Join a global, fast‑growing, market‑leading company where innovation is a way of life. You’ll work with some of the brightest minds in the industry in a creative, collaborative, and high‑energy environment. At NiCE, you’ll find endless opportunities across roles, domains, and technologies to shape your career journey.

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10421
Reporting into: Tech Manager
Role Type: Individual Contributor

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Details

Lead AI Engineer

Location: Pune (Hybrid)

Role Purpose Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision-making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels.

Key Responsibilities

• Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines)
• Build scalable data pipelines and feature engineering workflows using structured and unstructured data
• Integrate AI capabilities into enterprise platforms via APIs and microservices.
• Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data.
• Enable AI-driven use cases such as client insights, next-best-action, and automation of RM workflows.
• Implement model monitoring, governance, and performance optimization aligned to enterprise standards.
• Collaborate with engineering and business teams to translate wealth use cases into scalable solutions.
• Experience working with wealth management data (clients, portfolios, transactions)
• Understanding of data flows from core banking systems such as Avaloq
• Awareness of AI governance, model risk, and regulatory considerations in banking

Skills & Experience

Primary:

• Python (mandatory) • ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) • GenAI / LLM frameworks (LangChain, OpenAI, etc.) • AWS (S3, Lambda, SageMaker, Bedrock)

Secondary: • Data engineering (ETL pipelines, feature stores) • API development • Vector databases / embeddings

Job Title: Java Architect – Integration Engineering

Location: Pune, India 
Team: Integration Engineering 

About Anchanto

Anchanto is a global SaaS technology company powering eCommerce automation and logistics solutions for enterprises and 3PLs. Our Integration Engineering team builds scalable, robust, and high-performance integrations connecting our products with marketplaces, ERPs, WMS, OMS, and other enterprise systems worldwide.

We are looking for a seasoned Java Architect to lead the design and delivery of our integration framework, guide engineering best practices, and shape the technical vision for integrations that serve businesses across the globe. You will also play a pivotal role in driving AI adoption in our development processes, leveraging emerging tools and techniques to enhance productivity and code quality.

The Role

As a Java Architect – Integration Engineering, you will:

• Define and enforce integration architecture standards, design patterns, and development best practices for the team.
• Lead the end-to-end design and development of integrations with diverse internal and external systems using Spring Boot and modern Java frameworks.
• Engage directly with customers to understand their integration requirements, processes, and business objectives.
• Collaborate with solution team to define, document, and finalize integration design, architecture, and data mapping.
• Champion AI-driven development practices, integrating tools like Cursor AI and other AI-assisted coding solutions into the team’s workflow.
• Partner with Product Management, Pre-Sales, and Implementation teams to translate business needs into scalable technical designs.
• Guide and mentor engineers, fostering technical excellence, innovation, and AI adoption within the integration team.
• Be hands-on in building Proof-of-Concepts (POCs), solving complex integration challenges, and driving mission-critical deliveries.
• Collaborate with leadership to shape the roadmap for integration products and platform capabilities.

Key Responsibilities

• Architect and oversee the implementation of integration solutions leveraging Spring Boot, REST APIs, messaging, and event-driven architectures.
• Establish integration design patterns (e.g., EAI, ESB, SOA, pub/sub, ETL) to ensure reusability, scalability, and maintainability.
• Lead technical discovery sessions with customers to gather integration requirements and define clear solution blueprints.
• Coordinate with internal solution architects, product managers, and customer success teams to ensure integration feasibility and alignment with business goals.
• Introduce, evaluate, and integrate AI-powered development tools into the engineering process to improve efficiency, testing, and documentation.
• Promote a culture of AI-first problem solving in architecture design, code reviews, and automation.
• Set up frameworks and automation to accelerate onboarding of new integrations.
• Evaluate and recommend technologies, tools, and cloud services (primarily AWS) to optimize integration performance.
• Review solution designs and code to ensure adherence to architectural principles and coding standards.
• Support pre-sales with architecture diagrams, integration approaches, and technical feasibility assessments.
• Lead technical discussions with external partners, vendors, and enterprise customers.

Required Skills & Experience

• 15+ years of software development experience, with at least 3+ years as an Architect.
• Strong hands-on expertise in Java (Java 8+), Spring Boot, and microservices architecture.
• Solid understanding of integration patterns, enterprise architecture concepts, and middleware solutions.
• Experience with REST APIs, messaging systems (Kafka, RabbitMQ), and data transformation (JSON, XML, CSV).
• Knowledge of AWS cloud services relevant to integration (API Gateway, Lambda, SQS/SNS, ECS, RDS, etc.).
• Familiarity with CI/CD pipelines, Git, branching/merging strategies, and code quality tools.
• Proficiency in Linux environments and shell scripting.
• Experience with building connectors/adapters for ERP, WMS, OMS, CRM, or eCommerce platforms is a plus.
• Exposure to products like TIBCO, Informatica, SnapLogic, WebMethods, or MuleSoft is advantageous.
• Strong problem-solving skills, ability to think “out-of-the-box”, and adapt to fast-changing priorities.
• Excellent communication and leadership skills, with the ability to influence across teams.

Bonus / Good to Have

• Experience in AI-assisted development, particularly using tools like Cursor AI, GitHub Copilot, Tabnine, or similar.
• Knowledge of prompt engineering and integrating AI APIs (e.g., OpenAI, Anthropic) into developer tooling or backend services.
• Understanding of ML Ops principles and how AI models can be integrated into enterprise applications.
• Track record of evangelizing AI adoption in engineering teams to improve productivity and innovation.

Why Join Anchanto?

• Build integrations for a global SaaS platform serving leading retailers, brands, and logistics companies.
• Lead impactful projects with cutting-edge Java, Spring Boot, AWS, and AI-assisted development tools.
• Collaborate with a high-energy, globally distributed product and engineering team.
• Opportunity to innovate and define the future of Anchanto’s integration platform.

Engage directly with enterprise customers to design real-world solutions that power global eCommerce.

Job Title: .Net Full stack Developer with React.js

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Title: .Net Full stack Developer with React.js

Location: Pune (Hybrid Mode - 3 days WFO per week)

About the Role

Join us as a Full Stack Staff Engineer to lead the evolution of the AlphaSense Application Portfolio through robust architecture and cutting-edge AI integration. This role is designed for a seasoned engineer who thrives on solving massive-scale frontend challenges and building performant, customer-focused systems. You will act as a strategic lead—researching and architecting solutions for complex frontends, while fostering a culture of technical excellence across the team. If you are looking to combine hands-on AI innovation with high-impact organizational leadership, this role is for you.

What You’ll Do:

• Serve as the Architectural Anchor for integrating AI into the product fabric. You will research, prototype, and deploy cutting-edge solutions using LLMs and the latest frontend technologies, ensuring these models are not just theoretical but are seamlessly integrated into high-performance, user-facing applications.
• Design the frontend architecture that serves as the gateway to our AI platform. You will build robust, scalable interfaces capable of rendering insights from millions of documents with sub-second latency. By bridging the gap between complex AI services and the end-user, you will ensure that massive-scale data is transformed into performant, intuitive, and highly responsive web applications.
• Partner with cross-functional, distributed teams to evaluate and adopt emerging technologies, while leading the seamless integration and optimization of intelligent features and high-impact workflows across the platform
• Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who you are

Core Qualifications

• 8+ years of experience building complex, data-intensive full-stack systems, with 5+ years specifically scaling production-grade services using Node.js, GraphQL, and modern JavaScript/TypeScript ecosystems.
• Deep expertise in React and TypeScript; a proven ability to codify performance best practices, navigate complex architectural trade-offs, and drive code-level improvements.
• Proven success in designing large-scale asynchronous systems using streaming, queuing, and caching strategies, supported by robust observability (logging, metrics, tracing).
• Strong proficiency with SQL/NoSQL (e.g., DynamoDB, Elasticsearch, Vespa) and cloud-native development within AWS or GCP.
• Working knowledge of Python or Java/Spring.
• Passion for AI-assisted development (e.g., Cursor, Claude) 
• Exceptional communicator able to articulate complex technical concepts and influence engineering direction across multiple teams without direct authority.
• Prior experience at global technology companies or high-growth product organizations with a high-bar engineering culture.

Nice to have

• Proficient in modern DevOps/MLOps, including CI/CD, IaC, and automated testing frameworks.
• Hands-on experience with Docker and Kubernetes for containerized application delivery.

Practical experience deploying LLM applications, agentic frameworks, or scalable AI infrastructure.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.