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 

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

Overview of Role

As an Associate in AI/ML, you will bridge the gap between traditional data engineering and modern Generative AI. You will be instrumental in designing, building, and maintaining the infrastructure required to serve advanced LLM applications and Agentic frameworks. Working within the Google Cloud ecosystem, you will ensure our managed services projects are powered by reliable, scalable, and autonomous AI solutions.

Responsibilities

• Develop high-quality Python code to deliver AI-driven initiatives, focusing on LLM orchestration using LangChain, LangGraph, and supporting frameworks.
• Design and implement agent-based systems capable of multi-step reasoning, tool-use, and autonomous task execution.
• Architect and optimize data pipelines within GCP (BigQuery, Pub/Sub, Dataflow) to support Retrieval-Augmented Generation (RAG) and model fine-tuning.
• Own the end-to-end lifecycle of AI models, from prototyping in Vertex AI to production deployment and monitoring (MLOps).
• Partner with global technology teams to translate business requirements into technical AI specifications.
• Ensure code reliability through comprehensive unit testing and rigorous evaluation of LLM outputs (faithfulness, relevance, etc.).

Qualifications

• 3+ years in AI/ML engineering.
• Proven experience building LLM applications using LangChain or similar orchestration frameworks.
• Hands-on expertise with Google Cloud Platform (GCP), specifically Vertex AI, BigQuery, and Cloud Functions.
• Strong proficiency in Python and SQL.
• Knowledge of Vector Databases (e.g., Vertex AI Search, Pinecone, or Weaviate).
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

Overview of Role

We are seeking a seasoned Oracle DBA with 5–8 years of experience to join our Managed Services team. This role is unique; you will be responsible for maintaining the stability and performance of our current legacy environments while simultaneously architecting, migrating, and managing our future-state database infrastructure.

As a consultant-minded DBA, you will act as a trusted advisor to our customers, ensuring their data remains secure, highly available, and scalable as they transition to modern cloud or hybrid architectures.

Responsibilities

Core Database Management (Current State)

• Administration: Perform day-to-day monitoring, maintenance, and troubleshooting of Oracle 12c, 19c, and 21c environments.
• Performance Tuning: Proactively identify bottlenecks using AWR, ADDM, and ASH reports. Optimize complex SQL queries and memory structures.
• High Availability: Manage and maintain Oracle RAC, Data Guard, and GoldenGate for real-time replication and disaster recovery.
• Security & Patching: Execute quarterly RU/PSU patching and ensure compliance with security standards (encryption, auditing, and user access control).
• Exadata: Strong expertise in managing Oracle databases on Oracle Exadata, including deployment, configuration, patching, and lifecycle management.

Strategic Transition (Future State)

• Cloud Migration: Lead the migration of on-premises databases to Oracle Cloud Infrastructure (OCI), AWS (RDS/EC2), or Azure.
• Modernization: Implement and manage Autonomous Databases (ADW/ATP) and Exadata Cloud Service.
• Infrastructure as Code (IaC): Utilize Terraform or Ansible to automate database provisioning and configuration management.
• Architecture Design: Assist in designing scalable, multi-tenant architectures that align with the customer’s long-term digital transformation goals.

Managed Services Excellence

• SLA Management: Ensure all database services meet or exceed defined Service Level Agreements (SLAs).
• Customer Advisory: Translate technical database concepts into business value for stakeholders.
• Incident Management: Lead Root Cause Analysis (RCA) for critical production outages.

Qualifications

• Experience: 5–8 years of dedicated Oracle DBA experience, preferably within a Managed Services Provider (MSP) or a large-scale enterprise environment.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Certifications: Oracle Certified Professional (OCP) is required; OCI Solutions Architect or Autonomous Database Specialist certifications are highly desirable.
• Communication: Exceptional verbal and written communication skills with the ability to manage client expectations during high-pressure migrations.
• Mindset: A forward-thinking approach—you don't just "fix" databases; you optimize them for the future.

Overview of Role

The MicroStrategy Administrator will be responsible for the installation, configuration, maintenance, and support of the MicroStrategy platform. They will work with a variety of MicroStrategy products and will leverage their python, SQL, and automation skills to monitor, maintain, and improve MIcroStrategy environments. This role requires collaborating with clients and analysts to identify optimal technical solutions, utilizing and improving established processes, and collaborating on the Managed Solutions team.

Responsibilities

• Implementing and managing security roles, access controls, and authentication mechanisms within MicroStrategy to ensure data security and compliance with organizational policies.
• Manage user access and permissions
• Work with clients and analysts to gather requirements and design solutions
• Provide technical support to MicroStrategy users, troubleshooting issues, and answering questions related to report development, data access, and platform functionality 
• Stay up-to-date on the latest MicroStrategy features and best practices
• Create and maintain comprehensive documentation of the MicroStrategy environment, including system architecture, configurations, and troubleshooting guides
• Proven experience in dashboard development, report building, object development, and maintenance
• Develop workflows to automate administrative functions utilizing tools such as Python, MicroStrategy’s Rest API, Command Manager and System Manager. 
• Monitor system performance, identifying bottlenecks, and optimizing system resources (CPU, memory, disk space) to ensure efficient operation and scalability. This may involve query optimization, caching strategies, and load balancing.
• You are motivated and driven. You volunteer for new challenges without waiting to be asked. You’re going to take ownership of the time you spend with us and truly make a difference.
• Strong experience in CI/CD and Git-based version control (Bitbucket – push/pull, branching), along with JIRA and Confluence.
• Experience with MicroStrategy Administrative Functions is required!

Qualifications

• At least 3-5 years of experience working with the MicroStrategy Analytics Platform in an administrative capacity. 
• Strong familiarity with the differences in administrative process between self-hosted and Managed Cloud Environments (MCE). 
• Strong understanding of MicroStrategy architecture and components.
• Experience with MicroStrategy installation, configuration, and administration
• Experience with performance tuning and troubleshooting
• Experience managing environments with heavy utilization of intelligence cubes and high volumes of subscriptions.
• Experience utilizing MicroStrategy Workstation, understanding the differences in capabilities between Workstation and Developer application capabilities. 
• Experience building automation solutions utilizing Python and MicroStrategy’s Rest API.
• Strong proficiency in SQL, including advanced query writing and performance optimization
• Strong Experience utilizing System Manager and Command Manager applications.
• Bachelor's degree in Computer Science or related field or equivalent experience.
• Working knowledge or Hands-on experience of BI/reporting tools (Tableau, Power BI, Looker Studio) is desirable and will be viewed as an added advantage.
• Experience or familiarity with Google BigQuery is a plus.
• Experience with security and user management.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and own deliverables end-to-end.
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

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

Location Details: Pune, Hybrid

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely

This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team

Join Our Team...

The Principal Product Manager role involves managing the device fleet management platform that underpins GoDaddy's terminal and point-of-sale ecosystem. In this crucial job, you will handle portals and interfaces to enable scalable device operations for banking partners and ISV integrations covering thousands of devices in the field. Additionally, you will be the primary strategic contact for partner requirements, converting complex needs into actionable product plans and ensuring smooth operations at scale

The fleet management platform serves as the operational foundation that keeps thousands of payment devices functioning efficiently in the field. Your efforts have a direct effect on merchant uptime, partner happiness, and operational expenses. You'll help GoDaddy expand device operations efficiently while fulfilling partner commitments that support business growth. This is a high-visibility role where your work directly affects strategic partner relationships and the dependability of commerce experiences for merchants worldwide

This role sits at the critical intersection of product, partnerships, and operations—requiring both strategic vision and execution excellence. Join us and make an impact!

What you'll get to do...

Responsibility for Fleet Management Platform

• Product Strategy & Roadmap: Define and complete the long-term vision and quarterly roadmap for our Fleet Management Platform, balancing partner needs, operational requirements, and technical debt
• End-to-End Product Management: Own all aspects of the product surface including features, user experience, performance, reliability, and scalability
• User Experience: Build intuitive interfaces for internal operations teams, partner support personnel, and technical administrators managing device fleets at scale
• Platform Reliability: Ensure platform uptime, performance SLAs, and robust error handling to support mission-critical device management operations
• Diagnostic & Troubleshooting Tools: Build comprehensive diagnostic capabilities enabling rapid identification and resolution of device, connectivity, and software issues across the fleet

Partner Requirements Management

• Primary Partner Interface: Act as the chief product liaison for our Banking/ISV partners concerning device-adjacent product requirements.
• Requirements Intake & Discovery: Lead intake process for initiatives driven by collaboration, conducting detailed discovery to understand business context, technical constraints, and success criteria
• Collaborator Translation: Convert partner business needs into well-defined product requirements, user stories, and technical specifications.
• Partner Relationship Management: Build positive relationships with key partners, establishing trust as a reliable product partner who delivers on commitments
• Strategic Alignment: Ensure partner requests align with broader platform strategy, negotiate scope and timelines, and manage partner expectations throughout delivery

Your experience should include...

• 8+ years of product management experience in B2B SaaS, FinTech, payments hardware, POS systems, or terminal management, with a proven track record managing hardware/device ecosystems at scale
• Strong program management skills with experience coordinating complex, cross-functional initiatives, including RAID management, release planning, and go-to-market execution
• Direct partner and client-facing experience, serving as the primary product interface for enterprise partners or banking clients, with the ability to manage complex integration processes
• Ability to translate ambiguous business requirements into clear product specifications, with strong analytical skills in defining, tracking, and reporting on operational metrics
• Deep knowledge of the payments industry, including certifications, compliance requirements, and partner integration processes
• Familiarity with telemetry systems, logging infrastructure, and operational monitoring tools to support platform health and device ecosystem management

You might also have...

• Bachelor's degree in computer science, Engineering, Business, or related field, or equivalent experience
• Experience with fleet management platforms, MDM (Mobile Device Management), or remote device administration
• Technical background with understanding of architecture and system development, REST APIs, cloud infrastructure, and device SDKs
• Experience with Agile/Scrum methodologies and product management tools (Jira, Confluence, etc.)

We've got your back...  We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies

Overview of Role

66degrees is looking for a Technical Delivery Manager who has evolved from a strong software engineering background into a delivery leadership role. This role operates at the intersection of product strategy, technical architecture, and engineering execution. You will play a critical role in translating business vision into scalable technical solutions, partnering with cross-functional teams to drive execution and ensure quality. This role requires someone who can balance technical depth with delivery excellence, thriving in ambiguity to build solutions that create measurable business impact.

Responsibilities

• Own end-to-end delivery of software engineering projects from planning to release, contributing to roadmap and feature definition.
• Define project scope, timelines, and resource allocation to ensure predictable delivery while proactively identifying risks and trade-offs.
• Collaborate closely with engineering teams on system design, architecture, and technical decisions, ensuring scalability and performance.
• Drive execution across backend, frontend, and cloud-based systems, partnering with AI and data teams to build data-driven products.
• Ensure adherence to engineering best practices, code quality, and scalable architecture through structured yet flexible workflows.
• Lead Agile processes including sprint planning, stand-ups, reviews, and retrospectives to improve team velocity and predictability.
• Work with stakeholders to translate complex business requirements into clear technical execution plans and architecture artifacts.
• Communicate project status, risks, and outcomes effectively to leadership and stakeholders at all levels of the organization.
• Identify and manage dependencies and blockers, driving continuous improvement in delivery processes and team performance.

Qualifications

• 8+ years of experience with a strong foundation in software engineering, architecture, or technical delivery roles.
• Proven experience in system design, solution architecture, and leading the deployment of scalable applications.
• 3+ years of experience in Delivery or Technical Project Management, with prior experience as a Tech Lead or Senior Engineer.
• A Bachelor’s degree in Computer Science, Computer Engineering, or a related field required.
• Hands-on expertise in backend development (Python/Java/Node.js) and frontend frameworks (React or similar).
• Strong understanding of cloud platforms (GCP/AWS/Azure), microservices, and CI/CD practices.
• Proficiency in Agile/Scrum methodologies and tools like Jira or Azure DevOps; Scrum certifications (CSM/PSM) preferred.

Challenges

Building for Scale, Rapid Iterative Development, and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of passionate application development and product-driven thinking

As a Software Engineer:

● 7+ years of experience in the art of writing code and solving problems on a Large Scale.

● You will build Robust and scalable web-based applications You will need to think of platforms & reuse

● Build abstractions and contracts with separation of concerns for a larger scope

● Drive problem-solving skills for high-level business and technical problems.

● Do high-level design with guidance; Functional modeling, break-down of a module

● Do incremental changes to architecture: impact analysis of the same

● Do performance tuning and improvements in large scale distributed systems

● Mentor young minds and foster team spirit, break down execution into phases to bring predictability to overall execution

● Work closely with Product Manager to derive capability view from features/solutions, Lead execution of medium-sized projects

● Work with broader stakeholders to track the impact of projects/features and proactively iterate to improve them As a senior software engineer you must have

● Extensive and expert programming experience in at least one general programming language (e.g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

● Experience with multi-threading and concurrency programming

● Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces

● Excellent coding skills – should be able to convert the design into code fluently

● Knowledge of Test Driven Development

● Good understanding of databases (e.g. MySQL) and NoSQL (e.g. HBase, Elasticsearch, Aerospike, etc)

● Strong desire to solving complex and interesting real-world problems

● Experience with full life cycle development in any programming language on a Linux platform

● Go-getter attitude that reflects in energy and intent behind assigned tasks

● Worked in a startups environment with high levels of ownership and commitment

● BTech, MTech, or Ph.D. in Computer Science or related technical discipline (or equivalent).

● Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data.

● An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback.

As a Software Engineer, good to have

● The ability to drive the design and architecture of multiple subsystems

● Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product

● Understanding of the industry’s coding standards and an ability to create appropriate technical documentation.

Challenges

Building for Scale, Rapid Iterative Development, and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of passionate application development and product-driven thinking

As a Software Engineer:

● You will build Robust and scalable web-based applications You will need to think of platforms & reuse

● Build abstractions and contracts with separation of concerns for a larger scope

● Drive problem-solving skills for high-level business and technical problems.

● Do high-level design with guidance; Functional modeling, break-down of a module

● Do incremental changes to architecture: impact analysis of the same

● Do performance tuning and improvements in large scale distributed systems

● Mentor young minds and foster team spirit, break down execution into phases to bring predictability to overall execution

● Work closely with Product Manager to derive capability view from features/solutions, Lead execution of medium-sized projects

● Work with broader stakeholders to track the impact of projects/features and proactively iterate to improve them As a senior software engineer you must have

● Extensive and expert programming experience in at least one general programming language (e.g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

● Experience with multi-threading and concurrency programming

● Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces

● Excellent coding skills – should be able to convert the design into code fluently

● Knowledge of Test Driven Development

● Good understanding of databases (e.g. MySQL) and NoSQL (e.g. HBase, Elasticsearch, Aerospike, etc)

● Strong desire to solving complex and interesting real-world problems

● Experience with full life cycle development in any programming language on a Linux platform

● Go-getter attitude that reflects in energy and intent behind assigned tasks

● Worked in a startups environment with high levels of ownership and commitment

● BTech, MTech, or Ph.D. in Computer Science or related technical discipline (or equivalent).

● Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data.

● 5+ years of experience in the art of writing code and solving problems on a Large Scale.

● An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback.

As a Software Engineer, good to have

● The ability to drive the design and architecture of multiple subsystems

● Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product

● Understanding of the industry’s coding standards and an ability to create appropriate technical documentation.

Overview of Role

We are seeking a Full Stack Developer (Python + React.js) with 3+ years of experience to join our team. The core focus of this role is writing scalable code and developing robust back-end and front-end components using Python with FastAPI and React.js. This role requires strong coding skills, a solid understanding of business processes, and the ability to translate business needs into functional and technical requirements.

Responsibilities:

• Scalable Development: Write clean, efficient, and scalable code using the Python programming language and related frameworks.
• Develop responsive, high-performance, and maintainable user-facing features using React.js and modern frontend standards.
• Coordination: Coordinate closely with design teams and backend developers to integrate user-facing elements using server-side logic and ensure a cohesive user experience.
• API Development: Develop, test, and debug robust back-end components and APIs to support frontend functionality.
• Optimization: Reprogram existing databases and backend components to improve functionality and performance.
• Monitoring: Develop digital tools and logic to monitor online traffic and application health.

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a closely related technical field.
• 3+ years of proven professional experience as a Full Stack Developer in a fast paced environment.
• Expert knowledge of Python with FastAPI and React.js (including Hooks, Context API, or Redux).
• Proficiency with testing tools and methodologies for both client-side and server-side code.
• Familiarity with standard Python testing tools and best practices.
• Ability to manage multiple priorities in a fast-paced environment.
• Excellent ability to collaborate on projects, work independently, and prioritize tasks effectively.
• Excellent communication skills.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Overview of Role

The IT Service Desk L3 Engineer is a senior-level technical role responsible for providing the highest level of internal support and acting as the final escalation point for the IT Service Desk. This individual will lead complex project implementations, architect secure identity solutions, and ensure the stability of core infrastructure services. The L3 Engineer works closely with IT leadership to define technical standards, automate workflows, and maintain a high-security posture across all platforms.

Responsibilities

• Serve as the primary escalation point for complex technical issues from L1 and L2 engineers, ensuring timely resolution and adherence to SLAs.
• Architect, implement, and manage enterprise-grade SSO and Identity Provider (IDP) solutions.
• Manage and optimize Google Workspace and Administration at an expert level, including advanced security configurations and audit logging.
• Serve as the Subject Matter Expert (SME) for the Atlassian suite, specifically Jira Service Management, to streamline IT and business workflows.
• Enforce email security standards by configuring and monitoring SPF, DKIM, and DMARC protocols.
• Automate user lifecycle management through SCIM, JIT, and other advanced provisioning protocols.
• Oversee global Mac OS device management using advanced MDM tools and hardware asset management protocols.
• Manage complex storage infrastructure including iSCSI, NFS, and SFTP environments.
• Conduct Problem Management to identify root causes of recurring incidents and implement long-term preventative measures.
• Lead technical documentation efforts, creating architectural diagrams and high-level knowledge base articles.

Key Skillsets

• Identity & Access: Deep expertise in Single Sign-On (SSO) integration and Identity Provider (IDP) solutions (e.g., Okta, Azure AD). Mastery of identity protocols including OAuth 2.0, SAML 2.0, and OpenID Connect. Hands-on experience with automated user provisioning via SCIM and Just-in-Time (JIT) provisioning for user lifecycle management.
• Messaging Security: Expert-level knowledge in configuring, deploying, and troubleshooting email authentication protocols (SPF, DKIM, DMARC) to prevent spoofing and enforce email security policies.
• Infrastructure & Storage: Strong understanding of storage protocols (iSCSI, NFS) for enterprise environments. Experience managing secure file transfer protocols (SFTP) and core networking services (DNS, DHCP) for reliability and performance.
• Collaboration Suites: In-depth and demonstrable expertise in Google Workspace Administration, including advanced security settings, organizational unit (OU) management, audit log analysis, and Chrome Enterprise Management.
• Atlassian Suit: Expert level knowledge in Atlassian products, including designing and managing complex workflows, automation, and reporting within Jira Service Management (JSM), Jira Software, and Confluence to streamline IT operations and project delivery. Specific JSM expertise must include:
• Incident & On-Call Management: Implementing and managing JSM Premium features such as the Operations Center for on-call scheduling with various shifts, rotations, and overrides, full escalation policies, and advanced notifications (SMS, voice calls, Slack) for P1/P2 alerts.
• Platform Administration: Creating new request types and approval workflows based on ITIL principles, and leveraging the JSM/Confluence integration for knowledge base management.
• Integration & Automation: Expert experience with JSM API usage, troubleshooting complex API integrations (including webhooks for real-time data synchronization to external systems like CRM), and developing API scripts for user and data migration.
• Licensing & Cost Reduction: Utilizing Identity Providers (IDPs) (like Rippling/Okta) to reduce Atlassian license spend, manage user access based on organizational needs, and transition license models.
• AI Integration: Implementing Atlassian Rovo and integrating it with the IT Service Desk knowledge base to provide initial assistance and automated responses for incoming tickets.
• Endpoint Management: Proven experience with Enterprise Mac OS and Windows endpoint management, including deployment, patch management, security baselining, and inventory using modern MDM solutions (e.g., Rippling, Jamf, Intune).
• Operating Systems: Advanced troubleshooting and scripting skills for Mac OS and Windows operating systems.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• 7–10+ years of experience in IT support, system administration, or infrastructure engineering.
• Advanced certifications such as Professional Google Workspace Administrator, GCP Cloud Architect, or Atlassian Certified Professional.
• Proven track record of managing complex identity migrations and enterprise-level MDM deployments.

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.

Overview of Role

We are seeking a highly motivated and skilled Software Engineer to join our innovative technology team. This pivotal role involves driving the design, development, and maintenance of cutting-edge software solutions that directly contribute to our clients' AI transformation journeys.

Responsibilities

• Design, develop, and rigorously test robust cloud-native applications using core technologies such as Java, React, or NodeJS.
• Drive cross-functional collaboration with product, design, and engineering teams to ensure the successful and seamless delivery of 66degrees solutions.
• Own and contribute significantly to all stages of the Software Development Life Cycle (SDLC), from conception through deployment.
• Produce high-quality, scalable, and well-documented code, while actively performing debugging, troubleshooting, and performance optimization.
• Effectively collaborate with our geographically dispersed global teams, including offshore partners, to meet client needs across various time zones.

Qualifications

Required Technical and Professional Expertise:

• 4-8 years of progressive experience in developing and deploying cloud-native applications.
• Proven Full Stack Engineering capability with expertise in both front-end and back-end development.
• Deep expertise in Java and React or NodeJS, coupled with experience in at least one modern language: JavaScript, Python, or TypeScript.
• Demonstrated experience in establishing and optimizing Continuous Integration/Continuous Delivery (CI/CD) pipelines to enhance software delivery velocity.
• Strong verbal and written communication skills, with a proven ability to thrive in a highly collaborative, team-oriented environment.

Preferred Qualifications:

• Prior experience in a professional services or consulting environment.
• Experience developing applications on major cloud platforms, with a preference for the Google Cloud Platform (GCP) suite of products and services.
• A Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical work experience.

About the Role

We are looking for an experienced Staff Software Engineers to join the Veeam Data Cloud (VDC) engineering team. You will be working with a global team to build next-generation data protection services focused on ensuring data resilience for our customers. This is a unique opportunity to work on greenfield projects, building features from the ground up that will be deployed and utilized worldwide

What You'll Do

• Defines and drives technical vision for multiple areas within their team. Leads cross-team deliverables. 
• Design and develop highly reliable and scalable SaaS microservices, integrated with a variety of cloud-based managed services utilizing Golang 
• Participate in technical design discussions, reviewing code, and providing feedback to other engineers. Solves hardest, most ambiguous team wide challenges. Develops frameworks for others to follow.  
• Drives team deliverables in a timely and predictable fashion. Sets execution standards across the team. Ensure your code is high-quality, thoroughly tested, and secure 
• Facilitates effective collaboration and organizes across the engineering organization, drives discussions toward a resolution or action. Helps others across organization understand their team’s technology. 
• Participate in on-call rotation for product operations. 

What You'll Bring

• 10+ years of experience in the software development industry
• Demonstrated expertise designing, building, and implementing SaaS or large-scale cloud services on Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
• Expertise with a modern programming language like Go, C#, Java, Scala, or Rust
• Experience with Docker, Kubernetes or other container and orchestration tools
• Experience designing and implementing event-driven architectures
• Expertise in developing, testing, and debugging production-quality, scalable, concurrent systems
• A strong knowledge of computer science fundamentals (data structures and algorithms)
• Passion for code quality, extensibility, coding standards, testing, and automation

Bonus Skills

• Experience in the data protection industry

What You'll Get

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

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

What You’ll Do:

In this role, you will take the lead in designing, building, and optimizing data pipelines, ensuring high-quality data integration and real-time analytics. As a Senior Staff Engineer, you will mentor and guide a team of data engineers, collaborate with cross-functional teams, and drive best practices for data architecture and engineering.

• Leadership & Mentorship:
  • Lead and mentor a team of engineers, ensuring technical excellence and continuous improvement.
  • Provide guidance on complex technical issues, and foster a culture of collaboration and innovation.
  • Develop and maintain data engineering processes, practices, and standards across the team.
• Data Architecture & Engineering:
  • Design and develop robust, scalable, and efficient data pipelines for ETL (Extract, Transform, Load) processes.
  • Architect data solutions and ensure seamless integration of data from diverse sources, both on-premise and in the cloud.
  • Optimize data storage, retrieval, and processing for performance and scalability.
• Collaboration & Stakeholder Management:
  • Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Collaborate with the software engineering team to ensure smooth integration of data pipelines into applications.
• Data Quality & Governance:
  • Ensure data integrity, quality, and consistency across systems.
  • Implement and enforce data governance policies and best practices, ensuring compliance with data privacy regulations.
• Continuous Improvement:
  • Stay updated with the latest trends in data engineering, big data technologies, and cloud platforms.
  • Drive automation, testing, and optimisation within data pipelines to improve overall efficiency.
• Technology Stack:
  • Lead the selection and implementation of appropriate technologies for data storage, processing, and retrieval (e.g., Hadoop, Spark, Kafka, Airflow).
  • Experience working with public clouds like GCP/AWS.
  • Proficient with SQL, Java, Spring boot, Python or at least one Object oriented language, Bash.
  • Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc.

Who You Are:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent work experience).
• 8+ years of experience in data engineering or related roles, with at least 2 years in a leadership or senior technical position.
• Extensive experience with data warehousing, ETL pipelines, data modeling, and data architecture.
• Strong experience working with large-scale data processing frameworks (e.g., Hadoop, Apache Spark, Kafka).
• Proficient in SQL, Python, Java, or other relevant programming languages.
• Hands-on experience with cloud-based platforms (AWS, GCP, Azure).
• Familiarity with data orchestration tools like Apache Airflow or similar.
• Strong knowledge of databases (SQL and NoSQL) and data storage technologies.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to work effectively with both technical and non-technical teams.

So, what’s the role all about?

As a Product Owner within Employee Engagement Manager (EEM), you will help define requirements for an intelligent intraday management tool focused on innovation, automation, and empowerment. EEM Product Owners work with both Product Managers and R&D to define product requirements which will evolve the workforce management space. You will serve as the Product Manager’s representative in all scrum-related activities for sprint and release planning to help drive execution according to the roadmap. Where needed, you will represent the Product team in critical stakeholder communication with R&D leadership, technical account managers, support, and during other critical activities in support of the Product team’s needs. You will report directly to the Manager of Product Management and are expected to interact with experts in the WFM domain.

How will you make an impact?

Define functional requirements for new EEM product features

Support the detailed definition of the product roadmap aligned to the Product Manager’s vision

Create and own the prioritized backlog. Work with architects, R&D, and UX to understand the design and prepare for sprint and release plans

Provide appropriate conditions regarding usage behavior and key pain-points experienced by specified WFM personas. Review, give feedback, and approve product deliveries according to acceptance criteria within area of responsibility

Assist customer support, training, and implementation teams with product issues

Enable the creation of technical documentation including feature documentation, micro-learning videos, and release guide preparation

Support Product Managers and serve as a trusted collaborator in considering feature innovations and critical decision-making

Have you got what it takes?

B.E./B.Tech in Computer Science, Industrial/Electronic Engineering.

2-5 years of experience in IT

Ability to work in a highly autonomous environment with little oversight required to multitask and prioritize work

Proven experience on partnering with engineers for delivery of enterprise-class software

Background in Agile Development Methodologies, user stories, acceptance criteria, and product specification definition

Familiarity with cloud-based applications and AWS infrastructure

Track record of effectively using influence, negotiation, and relationship-building to drive plan execution

Ability to work later hours when necessary. Strong communication skills and ability to interact with globally situated stakeholders

Fast learner with ability to quickly grasp new technical concepts. Ability to work across boundaries in a matrix organization

Strong analytical and problem-solving skills. Ability to manage expectations with customers and internal stakeholders

You will have an advantage if you also have:

Experience with contact centers or workforce management practices

Familiarity with scheduling employees

Previous experience as a Business Analyst/Product owner for enterprise-class software

Strong mathematical background. Knowledge of both web and mobile applications

Understanding of user experience. Experience with agent experience for WFM, specifically around time-off topics. Familiarity with Pragmatic Marketing framework

Knowledge of JIRA and Confluence. Inquisitive mindset/ ability to innovate

Experience with building AI products and features

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: 10797

Reporting into:  Tech Manager
Role Type: Individual Contributor

Overview of Role

We are seeking a highly skilled and experienced SaaS Tools Administrator to manage and optimize our suite of Software as a Service (SaaS) applications. The ideal candidate will possess in-depth knowledge of industry-standard user provisioning methods, expert knowledge of API integrations, and a proven track record of effectively administering a wide range of SaaS tools.

Responsibilities

• Google Workspace (GWS): Demonstrable expertise in managing user accounts, security settings, compliance policies, and the full suite of GWS applications (Gmail, Drive, Calendar, Meet, Docs, Sheets, Slides, etc.). This includes troubleshooting user issues, optimizing configurations for collaboration and efficiency, and ensuring data integrity and accessibility within the Google ecosystem.
• Rippling: Comprehensive understanding of Rippling for HR, IT, and Finance automation. This encompasses managing the workflows of employee onboarding and offboarding, device management, and IT provisioning. Ability to leverage Rippling's capabilities to streamline operations and enhance employee experience.
• Salesforce: Advanced administrative skills in Salesforce CRM, including user and profile management, security settings, custom object and field creation, workflow rules, process builders, and report and dashboard development. Experience in maintaining data hygiene, optimizing sales processes, and integrating Salesforce with other business applications.
• Atlassian Products : Strong proficiency in administering Jira Service Management, including managing and configuring workflows needed for the different ITSM Practices and Principles. Strong proficiency of managing Jira platform including issue types, screens, custom fields, permissions, creating and generating reports, integrating Jira with development tools, managing queues, SLAs, and customer portals. In-depth knowledge of Confluence for knowledge management, documentation, and team collaboration, involving setting up spaces, pages, and templates, managing permissions, and integrating Confluence with other Atlassian products like Jira. Ability to promote effective content creation and organization within the platform.
• Microsoft 365: Extensive experience in administering Microsoft 365 services, including Azure Entra ID,, Exchange Online, SharePoint Online, Teams, and other Office 365 applications (Word, Excel, PowerPoint, Outlook). This covers user and license management, security and compliance policies, data governance, and troubleshooting common issues.
• GitHub: Proficient in administering GitHub repositories, user access, team management, and security settings. Understanding of version control concepts and the ability to support development teams in leveraging GitHub for code collaboration and project access management.
• Asana: Skilled in administering Asana for task and project management, including setting up projects, tasks, subtasks, dependencies, and deadlines. Experience in managing teams, assigning roles, and creating custom fields and workflows to optimize project execution and visibility.
• Navan: Experience in administering Navan for corporate travel and expense management. This involves managing user profiles, processing expense reports, and integrating with financial systems to streamline business travel operations.
• OutReach: Familiarity with administering OutReach for sales engagement automation. This includes managing sequences, templates, prospect lists, and integrations with CRM systems. Ability to support sales teams in leveraging OutReach for effective lead nurturing and outreach campaigns.
• Lucid: Proficient in administering Lucidchart and Lucidspark for visual communication and collaboration. This involves managing user accounts, team folders, templates, and integrations with other productivity tools. Ability to support teams in creating diagrams, flowcharts, and visual representations for various business processes.
• Slack: Expert-level administration of Slack workspaces, including user and channel management, app integrations, security and compliance settings, and best practices for team communication and collaboration. Ability to troubleshoot connectivity issues, manage notifications, and ensure effective use of the platform.
• Manage access to various SaaS Tools using Principle of Least Privilege. This involves ensuring users have only the necessary permissions to perform their job, reducing the risk of security breaches.
• Create API scripts to automate tasks and integrate different applications, ensuring they can communicate and share data efficiently.
• Use a CLI (Command Line Interface) to manage and configure systems, providing a powerful and efficient way to control software and hardware.
• Implement policies and tools to prevent sensitive data from leaving the organization's network using the DLP (Data Loss Prevention)
• Implement and maintain user provisioning and de-provisioning processes following industry best practices.
• Develop, manage, and troubleshoot API integrations between various SaaS platforms to ensure seamless data flow and automation.
• Configure and optimize SaaS application settings to meet business requirements and enhance user experience.
• Monitor SaaS application performance, availability, and security, identifying and resolving issues promptly.
• Provide technical support and guidance to end-users on SaaS application functionalities.
• Collaborate with internal teams (IT, Security, HR, Sales, Marketing) to understand their SaaS tool needs and implement solutions.
• Develop and maintain documentation for SaaS application configurations, processes, and procedures.
• Stay up-to-date with the latest SaaS trends, features, and security best practices.
• Conduct regular audits of user access and permissions to ensure compliance and security.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• 5+ years of experience in SaaS administration and management.
• In-depth knowledge of various SaaS tools and their administration, including those listed in the "Responsibilities" section.
• Expert knowledge of user provisioning methods (e.g., SCIM, JIT provisioning, directory synchronization) and identity management solutions .
• Expert knowledge of API integration principles, RESTful APIs, and webhook configurations.
• Proficiency in scripting languages (e.g., Python, PowerShell) for automation and integration tasks.
• Strong understanding of security best practices related to SaaS applications.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Overview of Role

66degrees’ Managed Cloud Optimization (MCO) team works with some of the largest cloud users in the world to help them transform their businesses with technology. Our Site Reliability Engineers (SREs) combine Google Cloud Platform expertise with a passion for devops methodologies to help our clients maintain, optimize, and scale their cloud implementations. 

On a daily basis, our SREs work with varied and exciting customers on topics ranging from solving critical outages to designing and deploying new cloud workloads to building self-healing automation. Our SREs work with cutting-edge Google Cloud technologies like Google Kubernetes Engine (GKE), Anthos, BigQuery and data pipelines, as well as leading 3rd party tools like Prometheus, Datadog, and many others. Our SREs also work with languages like Python and Terraform to create automation, deploy infrastructure, and contribute to open-sourcing.

If you’re looking to continually build and apply your Google Cloud expertise to new and varied environments while acting as a key contributor to building the best Google consulting partner in the industry – let’s talk.

Responsibilities

Our ideal candidate will understand the value of teamwork. We are looking for the right fit with our rapidly growing organization and will invest in training.

We are based in Chicago, Illinois and Denver, Colorado. Remote candidates should not hesitate applying. A 66degrees’ Site Reliability Engineer’s responsibilities and duties are as follows: 

• Ensure near-zero downtime with monitoring and alerting, self-healing automation, and continuous improvement
• Create highly automated, available and scalable systems by applying software and infrastructure principles
• Employ and advise clients on DevOps and SRE principles and practices, covering deployment pipelines, HA, service reliability, technical debt, and operational toil for live services running at scale
• Provide a proactive approach to our clients’ workloads, anticipating failures, automating tasks, ensuring availability, and providing a great customer experience
• Work closely with clients, your team, and Google engineers to investigate and resolve infrastructure issues
• Contribute to ad-hoc initiatives such as writing documentation, open-sourcing, and improving operation, making a huge impact at a rapid-growth Google Premier Partner

Qualifications

• Minimum 3+ years of cloud and infrastructure experience, including demonstrated expertise with Linux, Windows, k8s, databases, and networking services
• 2+ years of Google Cloud experience and related certifications strongly preferred but not required
• Proficiency with Python required. Other programming language experience is a plus
• Strong provisioning and configuration skills using Terraform
• Experience with 24x7x365 monitoring, incident response, and on-call support.
• Experience in troubleshooting that spans systems, network, and code
• Experience determining & negotiating Error budgets, SLIs, SLOs, and SLAs with product owners
• Demonstrate the ability to work independently and as a member of a greater team, including cross-team activities
• Experience working in Agile Scrum, Kanban methodologies in SDLC
• Proven experience balancing service reliability, metrics, sustainability, technical debt, and operational toil for live services running at scale
• Strong communication skills, as this is a heavily customer-facing role
• Bachelor’s degree in computer science, electrical engineering, or equivalent required

The Role:

We are currently looking for a Senior Manager in our OneStream practice to join our team in Bangalore or Jaipur or Pune. As an Architect with our OneStream practice, you will develop and deliver project plans, building relationships with existing clients, determine solutions to meet clients’ needs, and provide delivery oversight to project teams.

In this role, the ideal candidate will be able to:

• Assist clients in fully integrating OneStream Software systems into their current FP&A processes and provide input on best practices
• Manage client expectations and accountability.
• Identify new opportunities with current clients
• Review and edit Creation of functional and technical project deliverables
• Review and critique task estimates and technical solutions Finalizing effort estimations and project plans
• Continually seek ways to improve the process of delivering OneStream Software solutions

You have: 

• Experience with OneStream Software implementations
• 10+ years of FP&A project management experience with a strong focus on OneStream Software or Oracle Hyperion PBCS/EPBCS implementations 
• Min 3 full lifecycle OneStream/Oracle Hyperion PBCS/EPBCS Software project as a Solution Architect
• Strong verbal, presentation, and written communication skills
• Proven business knowledge as well as OneStream EPM/CPM application specific functional knowledge
• University degree in business, computer science or equivalent
• Demonstrated ability to manage project scope and client expectations
• Demonstrated follow-through on assignments and issue resolution
• Demonstrated ability to manage and develop employees

 What else to expect

As an employee of Spaulding Ridge, you will gain exposure to an early-stage growth company providing innovative opportunities to impact our clients in a meaningful way. 

In the OneStream practice we invest in your learning by providing ongoing training through our partnership with OneStream to ensure your success in implementing their technology offerings to meet our client's needs.

We believe giving back is core to our values and as part of this effort, you will be given the opportunity to participate in SR’s day of service, giving back to our global community.  We offer a competitive benefit package, including flexible time off, medical, dental, vision and life insurance and much more.  

We take care of you! Here are some our great perks and top benefits to highlight:

• Competitive benefits package, including medical, dental, vision, and Life insurance
• Flexible Time Off
• Paid holiday time
• Paid maternity and paternity leave
• Monthly technology and wellness allowance
• Annual training allowance program

#LI-BS1

SRE::Network Operations Engineer III

As a Network Operations Engineer III, you will be a senior member of our network operations team, responsible for overseeing the design, implementation, and optimization of our complex and mission-critical network infrastructure. This role requires a high level of expertise in networking technologies, a strategic mindset, and the ability to lead initiatives that enhance the overall performance, security, and scalability of our network.

Key Responsibilities:

Advanced Network Configuration:

• Lead the design and implementation of high-availability, fault-tolerant data center network architectures.
• Develop and implement strategies for the continuous improvement of network infrastructure.
• Develop and review configuration templates which need to be used in bulk provisioning of network devices in a data center environment.

Network Strategy and Planning:

• Contribute to the development of the organization's long-term network strategy.
• Lead capacity planning initiatives, forecasting future network requirements, and recommending scalable solutions.
• Review HLD and LLD diagrams as part of solution design requirements and review.

Emerging Technologies:

• Stay abreast of industry trends and emerging technologies in networking.
• Evaluate and recommend the adoption of new technologies to improve network efficiency and capabilities.

Mentorship and Leadership:

• Provide mentorship and guidance to junior network operations engineers.
• Lead and participate in knowledge-sharing sessions to enhance the team's overall skill set.

Incident Management and Resolution:

• Lead the on-call engineer team and be the L3 escalation point for them for complex incidents and outages.
• Develop and implement incident response procedures and playbooks.

Vendor Management:

• Collaborate with vendors to evaluate and implement new technologies and solutions.
• Manage relationships with key vendors to ensure optimal support and service.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
• 7+ years of experience in network operations or a related role.
• In-depth knowledge of data center technologies and network routing protocols.
• Expert-level knowledge of routing and switching technologies, and security principles.
• Strong scripting and automation skills, with proficiency in languages like Python, Go, Shell, Ansible, Terraform or similar.
• Proven experience in designing and implementing large-scale, enterprise-level networks.
• Strong analytical and troubleshooting skills.
• Excellent leadership and communication skills.
• Industry certifications such as Cisco CCIE, Juniper JNCIE, or equivalent would be an added advantage.

Preferred Skills:

• Experience in network routing protocols like BGP, OSPF etc.
• Familiarity with data center technologies like VXLAN, EVPN etc.
• Knowledge of firewall technologies like IDS, IPS, WAF, UTM, NAT, IPsec etc.
• Knowledge of network operating systems like Junos, Cisco IOS/XE/XR, Enterprise SONiC, Cumulus Linux etc.
• Knowledge of network automation and scripting languages like Python, Go, Shell etc.
• Expert-level knowledge of configuration management tools like Ansible and Terraform.
• Expertise in complex fundamentals of Linux.
• Experience in monitoring tools and frameworks like Telegraf, Grafana, Prometheus, ELK stack.
• Experience with cloud networking solutions like Microsoft Azure.
• Knowledge of open-source virtualization technologies like KVM.
• Expertise in advanced network troubleshooting and performance optimization.
• Expertise in the implementation and management of load balancing solutions like Nginx, F5 BigIP etc.
• Contributions to open-source networking projects or industry publications.

This Network Operations Engineer III position represents a significant opportunity for a seasoned professional to make a substantial impact on our organization's network infrastructure. Join our team and be a key contributor to the success and innovation of our data center network infrastructure.

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.
Opportunity To Grow Your Career
There are plenty of jobs out there. The question is whether any of them will help you grow in your career? Will you be challenged by teammates to achieve your potential? Or are they roles that will ask you to do more of what you’ve already mastered. At Fictiv, you’ll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact in this Role
We are a small engineering team taking the next step in evolving our systems and infrastructure. As a QA Automation engineer, you will play a pivotal role in our company’s product development process to ensure overall product quality through test automation. If you enjoy providing end-to-end solutions to software quality problems and taking the lead in designing and implementing automated tests that not only elevate product delivery standards but dramatically increase our ability to release quality software quicker and more often, we’d like to meet you.

You will report to QA Lead

What You’ll Be Doing

As a Software Developer in Test, you will be responsible for automating and maintaining end-to-end integration tests.

• Work with QA Engineers to identify workflows as automation candidates and build out test scripts.

• Work with other members of the automation team to create integration tests using Cypress and Playwright.

• Perform code reviews for other team members, concentrating on maintaining team standards and best practices.

• Serve as a first point of contact to engineering teams, helping to answer questions about tests and providing automation guidance.

• Monitor and maintain the current library of integration tests, diagnosing and reporting failures to the responsible engineering teams.

Desired traitsPreferred Experience/ Minimum Qualifications

• Bachelor’s degree in Computer Science or related field

• Test Automation Experience: 6-8 years automation experience. At least 2-4 years working with Cypress and/or Playwright.

• You are experienced in writing automation tests in Cypress/javascript. You know the best way to use Cypress and how to avoid its pitfalls and determine best practices.

• You can write tests that operate the system via the UI as well as through backend api calls and understand when each strategy should be applied.

• You are an advocate for high-quality, reusable code, concentrating on creating functionality that can be reused across multiple tests.

• You have experience in an Agile development environment.

• You are an effective communicator, able to explain Cypress and automation to people unfamiliar with either.

• You can work collaboratively with a diverse group of people who have strong opinions. You can understand different perspectives while remaining an effective advocate for software quality.

• You are comfortable working independently, taking an assigned task and determining how best to implement it.

• You have experience working with AWS and ERP systems

Preferred Experience / Additional Qualifications

• Hands-on experience in performance testing using tools such as JMeter, LoadRunner, or K6 will be a strong advantage.

• Exposure to enterprise platforms like Salesforce, Arena, or NetSuite is highly desirable.

Interested in learning more?  We look forward to hearing from you soon.

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

The Data Intelligence team creates reports and dashboards to provide meaningful insights from the data warehouse. This team works closely with cross-functional stakeholders and leverages multiple Business Intelligence (BI) technologies to enable data-driven decision-making across the organization.
As a Senior Data Engineer on the Data Intelligence team, you will play a key role in designing, managing, and evolving Fictiv’s reporting data warehouse and semantic layer. You will partner closely with the Data Intelligence Manager, Data Engineers, Data Analysts, and Product Managers to ensure replicated data from production systems is transformed into scalable, trusted semantic data models that power consistent, accurate self-service reporting. Acting as a bridge between business and technology, you will translate analytical requirements into well-structured data models and transformations that enable reliable dashboards and insights across multiple domains.
In addition, you will collaborate with Infrastructure, Software, and Systems Engineering teams to strengthen database design and query efficiency across the broader data ecosystem. You will provide hands-on guidance on optimal table structures, indexing and clustering approaches, and SQL query patterns that improve performance and scalability. By proactively identifying bottlenecks and recommending architectural and modeling improvements, you will help ensure that both analytical and operational workloads are efficient, maintainable, and aligned with best practices.
This is a hands-on role responsible for leading the design, transformation, implementation, and operation of data solutions across disparate source systems—driving best practices in data modeling, semantic layer design, performance optimization, documentation, and governance. You will plan, design, and operate data pipelines and models using Agile methodologies to deliver high-quality, maintainable, and secure data assets

You will report to the Data Analytics Manager.

What You’ll Be Doing

• Design efficient, scalable, and maintainable semantic data models that align with business logic and enable intuitive self-service analytics and reporting across multiple domains.
  
• Build, maintain, and optimize data transformations and pipelines that transform replicated production data into trusted, analytics-ready models.
  
• Collaborate with stakeholders across data, engineering, product, and business teams to resolve data-related issues, clarify requirements, and align on solution design.
  
• Provide technical leadership and guidance to Software Engineers and Data Engineers on query performance, optimization techniques, and efficient data access patterns.
  
• Drive ongoing improvement of database and table structures, partnering with engineers to validate and refine table design, joins, partitioning/clustering, and other performance-related considerations.
  
• Review and advise on SQL query design for both application and analytics use cases, helping teams design queries that are performant, maintainable, and cost-effective.
  
• Analyze performance metrics and execution plans to identify bottlenecks in data models, queries, and transformations, and recommend practical tuning and refactoring opportunities.
  
• Follow and contribute to SQL coding standards, data modeling best practices, change control procedures, and data warehouse governance processes.
  
• Develop and maintain data flow diagrams, data dictionaries, and schema documentation with a focus on clarity, consistency, and enterprise data management.
  
• Understand and document end-to-end data flows and dependencies from production systems through the ELT pipeline into Snowflake and downstream BI tools, supporting delivery, release, and change management.
  
• Execute and lead data design sessions and technical reviews to gather requirements, validate modeling approaches, and communicate design decisions and trade-offs to stakeholders.
  
• Research emerging technologies, patterns, and tools related to Snowflake, dbt, SQL optimization, and semantic modeling, and recommend enhancements to Fictiv’s data platform and practices.
  
• Help set broad direction and vision for the reporting data platform architecture, influencing data engineering, analytics, and application data design strategy.
  
• Partner with internal and external teams for knowledge transfer and smooth handoff in advance of new feature launches or reporting changes.
  
• Work effectively with remote and cross-functional teams across time zones, fostering strong communication and collaboration.
  
• Proven experience working with large and complex datasets and comfort writing advanced SQL queries or leveraging BI tools for analysis and transformation.
  
• Deep understanding of data and analytics architecture, including data warehousing concepts, semantic data modeling, and data integration best practices, with a strong focus on Snowflake and ELT pipelines.
  
• Strong knowledge of SQL and BI concepts, including dimensional modeling, data warehouse design, and dashboarding; ability to translate analytical needs into robust semantic models.
  
• Demonstrated ability to guide and influence database and schema optimization, including improving query performance, advising on efficient access patterns, and ensuring well-structured data that support scalable workloads.
  
• Experience mentoring and guiding Data Engineers and Software Engineers to develop robust, scalable, and maintainable data models, queries, and database structures.
  
• Ability to design and maintain data transformation and workload management processes, including job orchestration, dependency handling, scheduling, and metadata management.
  
• Excellent analytical skills and experience working with both structured and semi-structured data, from exploration through to production-ready models.
  
• Ability to evaluate new tools, database features, and methodologies relative to the existing data stack and propose detailed, pragmatic recommendations for improvement.
  
• Strong ability to perform root cause analysis on data quality, performance, and process issues to identify inefficiencies, ensure data integrity, and deliver actionable insights.
  
• Clear and effective communicator—capable of providing business context for engineers and technical context for non-engineers, especially around trade-offs in model and schema design.
  
• Confident presenting to audiences with mixed levels of technical understanding and experience, including walkthroughs of models, schemas, and query patterns.
  
• Curious, resourceful, and adaptable; comfortable navigating ambiguity, learning new technologies (e.g., new Snowflake/dbt features), and evolving processes to improve outcomes.

Desired Traits

• B.S. in Data Science, Computer Science, Information Systems, or a related field.
  
• 15+ years of experience as a Data Engineer, designing and maintaining large-scale data systems, building scalable data models, and delivering analytical solutions through modern BI and data pipeline tools.
  
• 10+ years of experience working with modern cloud and on-premise database platforms—such as Snowflake, AWS Redshift, Azure Synapse, Google BigQuery, or traditional RDBMS systems (e.g., PostgreSQL, MySQL, SQL Server, Oracle)—with a strong focus on schema design, query performance, execution plan analysis, and scalable data access patterns, rather than day-to-day operational administration.
  
• 8+ years of experience developing and maintaining data transformation workflows using dbt or a similar tool, with expertise in model design, testing, documentation, environment management, deployment automation, and enforcing version control and development best practices.
  
• Demonstrated expertise working with complex datasets and advanced SQL, including multi-level CTEs, window functions, and recursive queries, with an emphasis on performance and readability.
  
• Experience with BI platforms such as Heap, Sigma Computing, or similar technologies (e.g., Tableau, Looker, or QuickSight), and how they interact with warehouse models.
  
• Strong knowledge of BI and analytical concepts, including regressions, recursion, sliding window functions, financial metrics, marketing funnel metrics, and logistics and fulfillment analytics.
  
• Experience building and maintaining processes that support data transformation, data structures, metadata management, dependency handling, and workload optimization in a modern ELT/warehouse environment.
  
• Proven ability to lead and coordinate cross-functional initiatives, including partnering with Software Engineers to refine schemas and queries, conducting interviews, and performing analyses to develop business cases for projects and improvements.
  
• Experience delivering training sessions and technical enablement for internal and external stakeholders, especially around data models, schemas, and query best practices during system and process rollouts.
  
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts (e.g., query plans, indexing/clustering trade-offs, modeling decisions) for non-technical audiences.
  
• Demonstrated leadership and mentoring abilities, fostering technical excellence and knowledge sharing across data and engineering teams, particularly in areas of semantic modeling, SQL craftsmanship, and performance optimization.

Perks and Benefits

• Medicliam
• Annual Paid holidays
• Gratuity
• Provident Fund 
  And much, much more!

Interested in learning more?  We look forward to hearing from you soon.

What’s in it for you?

List at least two comparative wins for this role over another that someone might consider. Example follows.

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
There are plenty of jobs out there. The question is whether any of them will help you grow in your career? Will you be challenged by teammates to achieve your potential? Or are they roles that will ask you to do more of what you've already mastered. At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

As a Salesforce engineering leader at Fictiv, you will build and manage high-performing teams by making strategic, culture-aligned hiring decisions and using data to optimize capacity. You’ll foster an environment of ownership and continuous learning, coaching Scrum teams in Agile excellence to ensure consistent, high-quality delivery.

By bridging the gap between business goals and technical execution, you will define a clear technical vision, manage complex integrations, and partner with Architects to modernize the roadmap while reducing tech debt. Ultimately, you take full accountability for engineering deliverables, ensuring they are scalable, on schedule, and held to the highest standards of quality and excellence.

What You’ll Be Doing

• Build and take ownership of the Salesforce engineering team and drive excellence.
• Brainstorm ideas of how to improve training, process, hiring, etc
• Participate in your team’s coaching, personal development, performance management, and career growth.
  
• Set clear expectations and goals for team members and create opportunities for team members to showcase their work
  
• Facilitate team-building activities
  
• Build an in-depth understanding of the code owned by the team.
  
• Encouraging knowledge sharing and collaboration
  
• Identify and address recurring issues in development cycles and improve speed of development.
  
• Ensure code quality and best practices
  
• Collaborate with Product Owners and stakeholders in understanding the requirements and translating them into technical designs.
  
• Provide high-level technical recommendations, approaches, and feedback.
  
• Create and maintain project timelines
  
• Identify dependencies between different systems and facilitate communication between cross-functional teams.
  
• Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineers.
  
• Conduct risk assessments throughout the project’s lifecycle and provide updates to the stakeholder’s progress of each project you manage.
  
• Resolve cross-team coordination issues that may impact progress.
  
• Manage expectations and negotiate scope changes.
  
• Facilitate decision-making processes when trade-offs are necessary
  
• Ensure smooth handoff between development, QA, and plan for the software releases.
  
• Identify repetitive tasks that can be automated
  
• Encourage the development of internal tools to boost productivity
  
• Allocate time for refactoring and system improvements
  
• Encourage experimentation with new tools or methodologies

Desired Traits

• 12+ years of overall experience in engineering
  
• 7+ years of hands-on experience working in Salesforce
  
• Proven experience in developing Salesforce solutions with a deep understanding of Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
  
• Have worked in Salesforce CPQ, Sales, Manufacturing, Service, Data Cloud.
  
• Experienced in designing and implementing custom solutions that align with business needs.
  
• Strong knowledge of Salesforce data modeling, reporting, and database design.
  
• Has played the role of an Architect
  
• Demonstrated experience in building and maintaining integrations between Salesforce and external applications.
  
• 3+ years of leading software engineering teams in an agile environment
  
• Experience in hiring, mentoring, and leading engineers
  
• Bachelor's Degree in computer science, computer science engineering, or related experience required; advanced degree preferred
  
• Strong knowledge of Salesforce product and platform features, capabilities, and best use of it
  
• A good understanding of enterprise architecture principles is strongly preferred
  
• Active Salesforce Certifications are desirable (preferably Development Lifecycle & Deployment Architect, Application Architect,
  
• Experience in Mulesoft is a plus
  
• Ability to quickly grasp and distinctly explain technological and business concepts
  
• Experience in CI/CD
  
• Experience with agile software development methodologies and practices
  
• Prior experience leading teams in an agile environment.
  
• Strong oral and written communication skills, organizational and time management skills
  
• Ability to set priorities and multi-task in a fast-paced environment.
  
• Demonstrates analytical thinking, problem-solving
  
• Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs.

Interested in learning more?  We look forward to hearing from you soon.

Summary: 

This role supports CAA (Component Application Architecture) development within the 3DEXPERIENCE CATIA (V6) environment. The position involves CAD customization, automation development, electrical harness automation, client interaction, and full project lifecycle ownership including requirement gathering, development, testing, deployment, and support.

Responsibilities:

• Develop and customize applications using CAA in the 3DEXPERIENCE CATIA (V6) platform.
• Design, develop, and maintain CAD automation tools to enhance engineering productivity.
• Work within the Dassault Systèmes environment, ensuring compliance with platform standards and best practices.
• Gather client requirements and conduct technical analysis to define development scope and architecture.
• Translate client requests into actionable technical plans and documented specifications.
• Develop and maintain VBA scripts for CAD automation and process improvements.
• Automate 3D wire harness models into circuit diagrams and electrical drawings.
• Support automation related to Circuit Tables, Circuit Diagrams, and Harness Layout Drawings.
• Create solutions for generating harness layout drawings from 3D wire harness models.
• Perform testing, validation, debugging, and performance optimization of developed tools.
• Prepare and present Proof of Concept (POC) solutions using PowerPoint or demo videos.
• Conduct “Voice of Customer” surveys to identify user pain points and improvement opportunities.
• Develop project plans, define milestones, and commit to delivery timelines with high quality.
• Provide post-deployment support and manage enhancements or issue resolution.
• Lead and mentor a small team of 2–3 developers while coordinating with cross-functional stakeholders.

Qualifications:

• Bachelor’s or Master’s Degree in Mechanical Engineering, Computer Science, or a related technical field.
• 7–10 years of experience in CAD customization, automation, and application development.
• Strong hands-on experience in CAA development within CATIA V6 / 3DEXPERIENCE.
• Proven experience working in the Dassault Systèmes environment.
• Experience in electrical harness automation and drawing generation is highly preferred.
• Strong knowledge of VBA scripting for automation.
• Basic 3D modeling skills in CATIA including Part Design and Surface Design.
• Familiarity with Circuit Tables, Circuit Diagrams, and Harness Layout Drawings.
• Experience in client-facing roles is preferred.
• Strong project management skills with the ability to manage end-to-end delivery.
• Excellent communication, presentation, and leadership skills.
• Ability to work independently and lead a small team effectively.

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 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.

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

Enterprise Workload is a unified server backup and archival built on Druva’s secure, enterprise-trusted, and high-performance cloud platform. With Phoenix, data can be stored indefinitely with limitless snapshots and flexible retention policies, while at the same time significantly lowering your backup costs. Druva takes a multi-layered approach to securing data that is unmatched in the industry – enabling organizations to address both their data security and data privacy requirements.  

As Manager, Engineering, you will be leading a team of senior engineers that is responsible for delivering features and enhancements for scale-out distributed systems and applications. The role requires improvement and involvement across the full product development lifecycle from product roadmap planning, requirements specification, design, delivery, test, documentation, and release management to support and maintenance. In addition, you will be responsible for talent management activities including, mentoring, feedback through regular 1-1s, performance appraisals, etc.

Key Skills:

• 10-15 Years of Experience with a consistent track record in development projects involving product development as an individual contributor and team/tech lead. Experience of managing, motivating, developing / coaching, and appraising the team assigned to the project.
• 3+ years managing a team of 5+ people.
• Experience in leading the development of complex, scale-out, distributed systems based on Service Oriented Architecture/Microservices (preferred).
• Understand modern programming languages such as Go/Python programming and concepts such as multi-threading, data-intensive applications, NoSQL DB’s
• Demonstrated experience in building products in the areas of FS /NAS/ Virtualization (preferred) and storage. 
• Understanding of cloud technologies (AWS, Azure, GCP)  is a plus. 

Desirable Skills:

• Demonstrated experience in building products in the areas of Virtualization (preferred), Cloud/SaaS services, Storage, or Networking/Security.
• Understanding of cloud technologies (AWS preferred ) is plus Start-up development and/or management experience is nice to have. 
• Experience in managing, motivating, developing / coaching, and appraising the team assigned to the project.

Role And Responsibilities:

• Coordinate with Product Management, UX and architects to come up with high level design for the features, estimates, plan and timelines for the delivery.
• This is a hands-on role that involves understanding the product at a detailed level and contributing to design discussions and code reviews.
• Define release scope in conjunction with product mgmt., own end-to-end delivery of new features and service releases, often in parallel. 
• Help with ongoing escalations as required Establish lean engineering practices such as CI/CD, TDD, effective code reviews, etc.
• Defining the team structure and hiring and strengthening the team to support product roadmap and company vision.
• Coach, mentor and provide regular & timely feedback to direct reports.

Qualification:

• B.Tech/ B.E / M.E./ M.Tech (Computer Science) or equivalent.

Job Title: Manager- Quality Assurance (Silicon Experienced)

Location : Pune / Hybrid

Silicon-based quality Assurance experience is mandatory 

Job Summary

The Director of Quality Assurance (Software) is a senior executive leader responsible for defining, governing, and advancing the organization’s enterprise software quality strategy. With 10+ years of experience, this role provides strategic oversight across quality engineering, test automation, API testing, compliance, and continuous improvement to ensure the delivery of secure, reliable, and scalable software products.

Experience in the automotive software domain (e.g., embedded systems, connected vehicles, infotainment, ADAS, AUTOSAR, or mobility platforms) is considered a strong plus.

Key Responsibilities

Enterprise Quality Strategy & Governance

• Define and own the long-term enterprise software quality vision, strategy, and roadmap aligned with business objectives.
• Establish and govern quality management systems, standards, and policies across enterprise and product platforms.

Software Quality Assurance & Automation

• Provide executive oversight of all testing activities including functional, regression, integration, system, performance, security, and User Acceptance testing
• Contribute to enterprise test automation strategy,
• Ensure automated test suites are scalable, maintainable, and integrated into CI/CD pipelines.
• Promote shift-left and quality engineering practices across Agile and DevOps teams.

Test Planning & Test Case Governance

• Define enterprise-level test planning frameworks for Semiconductor, Automotive API.
• Ensure test plans include scope, objectives, environments, entry/exit criteria, dependencies, and risk assessments.
• Establish standards for test case and API test design ensuring traceability, reusability, and automation readiness.
• Review release readiness and provide quality sign-off for major product releases.
• Validate data integrity, interoperability, and backward compatibility across systems.
• Exposure with Cybersecurity is plus.

Compliance, Risk & Regulatory Oversight

• Automotive domain exposure may include compliance with ISO 26262, ASPICE, ISO 9001 or related standards.
• Lead audit readiness, regulatory inspections, and quality risk mitigation initiatives.

Continuous Improvement & Operational Excellence

• Drive continuous improvement initiatives to reduce defect leakage and improve automation ROI.
• Lead root cause analysis and corrective/preventive action (CAPA) programs HARA/TARA.
• Champion modern testing approaches, including automation optimization and API-driven testing.

Customer Experience & Product Excellence

• Monitor customer feedback, production incidents, and quality metrics to identify improvement opportunities.
• Ensure customer-centric quality outcomes such as reliability, usability, performance, and safety.

Leadership & Organizational Development

• Lead, mentor, and develop senior QA leaders, automation architects, and global QA teams.
• Build scalable QA organizations capable of supporting enterprise, cloud, and automotive platforms.
• Foster a culture of quality, accountability, and continuous learning.

Communication & Analytics

• Present quality performance, automation coverage, Test Results, and risk assessments to executive leadership and the board.
• Define enterprise QA KPIs and dashboards using test management, CI/CD.
• Leverage analytics and business intelligence tools to support data-driven decisions.

Required Qualifications

• Bachelor’s degree in computer science, Engineering, or a related field 
• 10+ years of progressive experience in software quality assurance and quality engineering. (Embedded systems experience is must).
• Strong experience with: Automation Test Framework, CI/CD pipelines and DevOps practices
• Deep understanding of SDLC, Agile, and enterprise QA governance.
• Experience in the automotive software domain (embedded systems, connected vehicles, ADAS, infotainment, mobility platforms).
• Familiarity with automotive quality standards such as ASPICE, ISO 26262, ISO 9001.
• Knowledge of performance, security, and safety-critical testing.

What You'll Get in Return:

• Technology Depth and Breadth Expansion: Unparalleled opportunities for technological growth that are hard to find in larger organizations.

• Career Growth: Significant opportunities to grow your career as the company expands.

• Pre-IPO Stock Options: Become a part of our success with pre-IPO stock options.

• Cutting-Edge Technology: Work with the latest advancements in networking and embedded systems.

• World-Class Team: Collaborate with highly skilled and passionate professionals.

• Competitive Base Salary: Receive a compensation package that reflects your expertise and contributions.

• Flexible Hours: Enjoy flexibility in your work schedule.

About the Role:

As a Product Owner at Abacus Insights, you will play a pivotal role in bringing to market a cutting-edge cloud data platform which enables an industry leading data usability for healthcare payers, ultimately enabling them to turn their vast data into insights that drive improved outcomes. This role requires a robust background in software development or data engineering to effectively translate high-level product vision and customer needs into detailed requirements. You will be working collaboratively with engineering and stakeholders from across the organization to ensure the development of features that optimize value and meet customer needs. As a key member of the product team, you will be responsible for managing Abacus products throughout their lifecycle to include opportunity identification, demand intake, roadmap management, requirement development and analysis, story grooming, design reviews, product acceptance, go-to-market, and sunset planning. This role requires a person who can successfully manage across all aspects of product management while keeping focused on delivering true customer ROI and excelling as a technical translator of business need into technical specifications.

Your day to day: 

• Translate the strategic direction set by the Product Manager into specific product features and oversee development of these features efficiently within the agile framework.
• Support engineers comprehensively throughout all aspects of the Software Development Life Cycle (SDLC), providing guidance, insights, and assistance as necessary.
• Assume end-to-end responsibility for the lifecycle of product features you own
• Act as the primary translator between business needs and technical requirements, effectively bridging the gap to ensure alignment between stakeholders and engineering teams.
• Work with cross-functional teams to analyze current product performance and identify areas for improvement.
• Communicate comprehensive updates, progress reports, and insights related to the product's development to company leadership and other audiences.
• Collaborate with stakeholders, customers, and the development team to gather comprehensive requirements and document customer scenarios, pain points, and success criteria for product feature-sets and features.
• Estimate anticipated impact of each product feature and craft effective value statements to be used in roadmap prioritization.
• Create, prioritize, and manage the product backlog to ensure that the team is working on the most valuable items first.
• Ensure that the development team understands the scope and complexity of the tasks and can accurately estimate the level of development effort.
• Participate in sprint planning, reviews, and retrospectives, ensuring that the development team is building the product as envisioned and meeting the acceptance criteria.
• Act as the primary liaison between stakeholders and the development team, conveying updates, managing expectations, and gathering feedback.
• Ensure visibility, transparency, and clarity of the product backlog for all stakeholders involved.
• Manage product acceptance testing phases to ensure features not only add value but also align with customer needs.
• Coordinate release activities to ensure seamless deployment.
• Prepare relevant documentation and conduct internal user training for new features.
• Collaborate with client management to ennsure they have what they need to support our clients in optimizing the impact of the product.

What you bring to the team:

• A deep understanding of data software engineering or a minimum of 3 years of software development or data engineering experience.
• Domain expertise in shipping Software as a Service (SaaS) products.
• Deep domain expertise in cloud technologies, including AWS, Azure and/or GCP.
• Skilled in database concepts and tools (preferably on Databricks and Snowflake).
• Deep understanding of the data platform R&D processes and agile methodologies.
• Experience with big data, ETL and data pipelines, security and privacy, DevOps, or automation.
• BS or MS in Computer Science, or related fields, or equivalent experience in a technical product owner role or an adjacent position.
• Proven ability to influence and coordinate cross-functional teams to execute plans in highly technical environments.
• Exceptional communication skills critical for translating business requirements into technical specifications, and communicating with technical and non-technical audiences.
• Well-developed strategic-thinking skills, with the ability to inspire and lead others.
• A highly proactive get it done attitude and the skills to back it up.
• Demonstrated ability to thrive in a fast-paced, dynamic startup environment.

What we would like to see, but not required:

• US Healthcare Payor or Provider industry experience.
• Experience with healthcare interoperability standards such as HL7 V2, FHIR and X12.
• Experience with integrating or implementing healthcare-related EMPI/MDM workflows.

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

ASPICE SPECIALIST (Automotive SPICE)


The candidate must demonstrate strong working knowledge of ASPICE Level processes and their practical implementation within a semiconductor functional safety environment, including:

Process Knowledge:
• Solid understanding and hands-on experience with ASPICE process groups:
• SYS.1 – SYS.5 (System Requirements, Architecture, Integration, Verification, Validation)
• SWE.1 – SWE.6 (Software Requirements, Architecture, Design, Unit Verification, Integration, Qualification)
• SUP.1 – SUP.10 (Configuration Management, Change Management, Verification, Validation, Quality Assurance, Problem Resolution)
• MAN.3 / MAN.5 (Project Management, Risk Management)
• Experience in implementing capability level 2 & 3 practices (Managed and Established processes).

Process Implementation & Compliance:
• Ability to define, tailor, and deploy ASPICE-compliant development processes for:
• Requirements engineering
• Architecture and design
• Verification and validation
• Change and configuration management
• Establish and maintain process documentation, templates, guidelines, and work products per ASPICE expectations.
• Ensure bidirectional traceability across:
• System → Safety → Hardware → Software → Test artifacts.

Assessment & Audit Readiness:
• Hands-on experience preparing projects for:
• ASPICE Level 2 / Level 3 assessments
• Internal and external process audits
• Experience supporting:
• Evidence generation
• Gap analysis
• Corrective action plans for assessment findings.
• Ability to interpret assessment results and drive continuous process improvement.

Toolchain & Work Products:
• Experience with ASPICE-aligned toolchains:
• Knowledge of required ASPICE work products:
• Project plans, risk plans
• Requirements specifications
• Architecture and design descriptions
• Verification strategies and reports
• Traceability matrices

Integration of ASPICE with Functional Safety:
• Strong understanding of alignment between ASPICE and ISO 26262:
• Mapping of ASPICE SYS/SWE processes to functional safety lifecycle
• Integration of safety requirements into system and software processes
• Support of confirmation measures using ASPICE-compliant evidence
• Experience ensuring Freedom from Interference (FFI) using ASPICE-compliant architectural and verification practices.

Process Improvement & Mentoring:
• Coach engineering teams on ASPICE practices
• Drive process adoption and discipline across projects
• Support organizational process maturity growth.

Qualifications

• Bachelor’s or Master’s degree in Electrical/Electronic Engineering, Computer Eng., or related discipline.
• 10+ years of experience in Semiconductor development, specifically Automotive ICs.
• Strong knowledge of ISO 26262 (Part 2–11) and related standards.
• Past involvement in ASPICE Level 3 infrastructure and process development.
• Familiarity with requirements management tools (DOORS, Jama, Polarion) and safety analysis tools.
• Excellent communication skills to interface effectively with OEMs, Tier 1s, certification bodies, and cross-functional teams.

Preferred Skills

• Background in digital/analog/mixed-signal SoC design.
• HW/SW tool evaluation and classification
• Sound knowledge and background in ASPICE (up to level 3) and Cyber Security (ISO/SAE 21434).
• Strong experience in external audits and assessor engagement (e.g., TÜV, Exida and UL).
• Good understanding of Automotive relevant standards and tools i.e., IATF 16949, AEC-Q100, PPAP, APQP and five core Automotive tools.

Personal Skills:

• Excellent communication/documentation skills.
• Attention to detail.
• Collaboration across multidisciplinary and international teams.

What You Can Expect from Ethernovia:

• Technology depth and breadth expansion that can’t be found in a large company
• Opportunity to grow your career as the company grows
• Pre IPO stock options
• Cutting edge technology
• World class team
• Competitive base salary
• Flexible hours
• Medical, dental and vision insurance for employees
• Flexible vacation time to promote a healthy work-life balance
• Paid parental leave to support you and your family

Job Title: Senior Product Manager 

What You’ll Do

We are looking for an experienced, versatile Senior Product Manager in Pune who will own and drive the roadmap and execution of a significant portion of the TrustRadius product portfolio within HG Insights. TrustRadius is a buyer intelligence platform that helps software buyers discover the right software to solve their use case, and helps software vendors maximize their brand awareness and preference leveraging voice of the customer content to drive demand. In this role, you will collaborate with other product leaders and functional leaders to determine the strategy and roadmap that will drive software vendor adoption and value through our product offerings. You will deliver products that delight software vendors, create business value, and power the next wave of growth for our Customer Voice, Intent Data, and Leads offerings. 

The ideal candidate for this position is comfortable working across a variety of different product offerings and surface areas, from creating APIs and integrations to ensuring a frictionless platform user experience. You will work closely with engineering and design to prioritize work across new and existing features used by software vendors and will collaborate with marketing and field leaders to bring them to market.

What You’ll Be Responsible For:

• Define the product roadmap and success metrics for software vendor  customer facing offerings, in alignment with company vision, customer needs, and market trends
• Balance short-term revenue objectives with long-term product quality and strategic differentiation
• Understand B2B software vendor needs by conducting thorough market research, customer interviews, and data analysis to identify unmet needs and opportunities for your areas of ownership 
• Transform user needs and business requirements into detailed product specifications, user stories, and acceptance criteria for engineering teams
• Collaborate with other product leaders to deliver a trusted marketplace experience for both B2B buyers and vendors
• Effectively prioritize features and initiatives based on business value, technical feasibility, and user impact, ensuring a well-defined and groomed product backlog
• Partner with Engineering to ensure requirements are clear, user stories are written, and acceptance criteria followed per agile software development principles
• Develop and monitor clear success metrics and KPIs—leveraging data-driven insights and customer feedback for continuous improvement
• Clearly and concisely communicate product plans, progress, and results to stakeholders at all levels of the organization
• Engage frequently with customers and internal stakeholders to share the roadmap, gather feedback, and deepen your understanding of evolving needs
• Partner closely with Sales, Marketing, and Customer Success to collect feedback, align on solutions, and product drive adoption
• Stay up to date on industry trends in review sites, buyer intelligence, intent data and more. Understand how emerging technologies are affecting how buyers research software and how we can help software vendors effectively tell their story and drive demand with their buyers 

What You’ll Need

• 5+ years of product management experience owning product lines in SaaS, technology, marketplaces, data, and/or integrations 
• Direct experience working in the software review (e.g. G2, Gartner), buyer intelligence, or intent data space is a plus
• Experience working with demand agencies and/or products used by customer marketers, product marketers, and demand generation is a plus 
• Experience optimizing content and site experience for maximum visibility in SEO and GEO is a plus
• Growth mindset with a record of continuous improvement and adaptability in dynamic environments
• Demonstrated success managing a broad product portfolio and prioritizing where to invest in new opportunities and ongoing product health
• Strong analytical skills and experience assessing product opportunities, validating business cases, and driving decisions with data
• Previous experience working cross-functionally with engineering, design, data, and go-to-market teams in a fast-paced environment
• Experience building and working with APIs and third-party integrations to drive business and customer outcomes
• Deep customer focus, empathy, and demonstrated success translating customer needs into winning product solutions
• Excellent communication, stakeholder management, and influencing skills
• Bachelor's degree in Business, Computer Science, Engineering, or a related field; an advanced degree is a plus

About HG Insights & TrustRadius 

TrustRadius, an HG Insights company, is a leading platform for software reviews, intent data, and customer-driven insights. As part of HG Insights, TrustRadius is innovating at the intersection of B2B buyer research, authentic customer voice, and vendor demand generation to help software buyers make informed technology decisions and software vendors leverage the voice of their customers to accelerate demand.