At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you

So, what’s the role all about?

We are seeking a visionary Software Architect to serve as a technical leader for our engineering teams. In this role, you will bridge the gap between high-level strategy and hands-on execution, managing architectural subdomains within a large-scale platform. You will be responsible for guiding engineers toward correct technical paths, making high-stakes decisions, and relentlessly driving innovation and AI-first transformation across the organization.

How will you make an impact?

• Technical Leadership: Lead and influence multiple engineering teams, ensuring architectural alignment and high-quality technical decisions across subdomains.
• System Design: Architect resilient, multi-tenant cloud solutions and distributed event-driven systems that scale.
• Stakeholder Management: Collaborate with product leaders, directors, and cross-functional teams to navigate complex requirements in a multi-domain environment.
• API & Integration Strategy: Define robust API management strategies and ensure system resiliency through modern integration patterns.
• AI Integration: Evangelize and implement AI productivity tools (GitHub Copilot, Agents) and oversee the lifecycle of AI-driven applications utilizing LLMs.

Have you got what it takes?

• Total 14+ years and relevant 8+ years’ experience as Software Architect .
• Cloud Expertise: Proven track record of designing and deploying production-grade systems on AWS using a broad range of AWS native services.
• Architectural Depth: Deep experience in Multi-tenant Cloud Architecture, Event-Driven Systems, and Resiliency Patterns  
• Polyglot Mindset: A "right tool for the job" approach, with a willingness to work across various languages and frameworks in an AI-first environment.
• Communication: Exceptional ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• AI/LLM Proficiency: It will be good to have a person with practical understanding of AI project lifecycle specifically using LLMs and the use of AI agents to accelerate development

• Backend: Advanced proficiency in Java and Springboot Framework. Exposure to Node.js will be a significant plus.
• Infrastructure: Hands-on experience with AWS CloudFormation (YAML) and Infrastructure as Code.
• Data: Strong mastery of SQL required
• Big Data exposure to Apache Spark or Big Data processing will be a bonus.
• Frontend: Solid understanding of modern UI frameworks and frontend development principles.
• Tooling: Expert-level use of Jira, GitHub, GitHub Copilot, and Claude Code/other AI agents for productivity
• Testing : good exposure to automation testing and frameworks for unit testing , integration testing , e2e testing, performance testing.

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:  10835
Reporting into: Director, Engineering, CX
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

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 

The Role

The Senior Software Engineer - Browser Extensions will own the architecture and implementation of Securly's onboard filtering engine — building a local policy cache and real-time filtering decision engine inside the Chrome extension that moves filtering decisions on-device, improving speed, reliability, and bypass resistance for millions of students on Chromebooks.

You will design and build the system that eliminates the cloud round-trip for 80% of filtering decisions: a local policy cache with delta sync, a filtering decision engine running inside the MV3 service worker, and the bypass prevention layer that ensures the security model is not exploitable.

At L5, this role carries additional strategic weight. Google's Filter and Monitor platform shift is moving ChromeOS toward native Content Filtering APIs and away from browser extensions as the primary enforcement point. You will track this transition, evaluate its implications for Securly's extension strategy, and surface architectural recommendations — not just implement the current plan.

What You'll Do

• Own the architecture of the onboard filtering engine: local policy cache, delta sync protocol, filtering decision engine, and bypass prevention layer.
• Architect and implement the local policy cache: delta sync protocol, TTL management, cache invalidation logic, and graceful cloud fallback.
• Build the onboard filtering decision engine in the MV3 service worker: domain matching, URL categorization, iframe detection using DOM context, and allow/block decisions.
• Implement and harden bypass prevention: same-origin policy, CSP, CORS, iframe sandboxing, content script/page context boundaries, and timing-based attack vectors.
• Track Google's Filter and Monitor platform evolution (ChromeOS Content Filtering APIs); write architectural memos evaluating implications for Securly's extension strategy.
• Lead the transition and implementation of new filtering features using TypeScript and modern JavaScript within the MV3 framework.
• Optimize extension performance to add negligible latency on consumer-grade student Chromebook hardware; define and enforce performance budgets.
• Mentor Ashish M (L4) and new extension hires: substantive code reviews, pair on security model design, drive team understanding of bypass threat vectors.
• Manage chrome.storage.local within platform limits; evaluate IndexedDB for policy cache requirements that exceed those limits.

Skills & Requirements

Who You Are

• You know how browsers actually work — not just the APIs, but the security model, the process model, and the specific ways students try to break it.
• You have shipped production Chrome extensions at scale and know what service worker memory management means on a 4GB Chromebook.
• You track platform shifts (Google F&M, ChromeOS Content Filtering API) and understand what they mean for your system's architecture.
• You produce written artifacts (ADRs, threat models, platform memos) that document your reasoning for the team and for leadership.
• You write TypeScript that other senior engineers learn from, and your code reviews raise the floor for the engineers around you.

What It Means to Be L5 at Securly

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

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

About Securly

Benefits

The Role

As a Senior Software Engineer (GO) - DNS & Network Systems, you will own the architecture and delivery of Securly's DNS-over-HTTPS (DoH) resolver — a production-grade, identity-aware DNS service that enforces filtering policy at the browser and OS level for millions of students on managed Chromebooks.

This is a critical infrastructure role at the intersection of DNS, identity, and network security. You will design and build a high-performance DoH resolver in Go that extracts device and user identity from Chrome enterprise policy URL templates and integrates with Securly's DNS policy engine and Redis infrastructure. You own the full lifecycle: architecture, implementation, TLS configuration, and production deployment on AWS.

This role is the technical foundation of a potential simplification of Securly's SmartPAC identity architecture. Done well, it could collapse significant DNS-RPC signaling complexity (DID/cookie system, IP fusing, brokering state) that has been a source of reliability issues. The scope of that architectural decision will evolve with the POC, and you will be the engineer best positioned to inform it.

What You'll Do

• Architect and build a production-grade DoH resolver in Go, integrated with Securly's DNS policy engine and Unbound infrastructure.
• Implement identity extraction from Chrome's DnsOverHttpsTemplatesWithIdentifiers URL template variables — mapping encrypted DNS queries to device and user identity, and evaluate the degree to which this approach can replace SmartPAC DNS-RPC signaling.
• Build an Unbound plugin with filtering business logic to process DoH queries with identity parameters from the URL template.
• Integrate with Redis infrastructure for policy lookups, identity mapping, state management, and feature flags; document failure modes and define graceful degradation behavior.
• Own TLS termination: certificate provisioning, renewal, and ensuring Chrome correctly validates the DoH endpoint certificate.
• Architect and own the CloudFormation deployment stack: NLB, Auto Scaling Groups, Route53.
• Lead the POC and production hardening phases in collaboration with Securly's Distinguished Engineer; produce a written ADR capturing tradeoffs and the go/no-go recommendation after POC.
• Mentor junior engineers on DNS fundamentals, Go patterns, and infrastructure-as-code practices.
• Document the new architecture and own knowledge transfer as the system transitions.

Skills & Requirements

Who You Are

• You think in protocols. DNS, TLS, HTTP/2 — you know what happens at the wire level and find that interesting, not painful.
• You are comfortable owning a project end to end: from research and POC through production hardening and deployment, without being handed a spec.
• You write Go that other senior engineers want to read. Idiomatic, tested, observable.
• You have worked on infrastructure other products depend on and understand what production ownership actually means.
• You produce written artifacts (ADRs, position papers, risk registers) to anchor ambiguous decisions rather than leaving them implicit.
• You make other engineers better. Your code reviews are substantive, your design feedback is specific.

What It Means to Be L5 at Securly

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

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

About Securly

Benefits

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 7+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

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

So, what’s the role all about?

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

How will you make an impact?

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

Have you got what it takes?  

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

You will have an advantage if you also have:

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

What’s in it for you?

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

Enjoy NiCE-FLEX!

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

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

PROCUREMENT LEAD

(Pune - India)

Created in 2000, Ivalua is a leading global provider of cloud-based procurement solutions.

COMPANY OVERVIEW

At Ivalua we are a global community of exceptional professionals, who believe that digital transformation revolutionises supply chain sustainability and resiliency to unlock the power of supplier collaboration. 

We achieve this through our leading cloud-based spend management platform that empowers hundreds of the world's most admired brands to effectively manage all categories of spend and all suppliers to increase profitability, improve ESG (environmental, social, and corporate governance) performance, lower risk, and improve productivity. Driven by our passions and fueled by our shared ambitions, we empower and challenge each other to create meaningful experiences for our colleagues, customers, partners, and communities. 

Learn more at www.ivalua.com. Follow us on LinkedIn 

THE OPPORTUNITY

CONTEXT: 

The Professional Services Team’s mission is to successfully deliver our unique and configurable solution to customers and support our Partner community with high quality standards and strong commitment to excellence and efficiency. Our team of nearly twenty experts  is very hands-on with a strong mindset of problem solving while also having the ability to think of the implementation holistically and provide solutions that solve the customer’s long-term challenges.

ROLE:

Are you passionate about driving innovation and ensuring the successful deployment of cutting-edge solutions? Join our dynamic team as a Procurement Lead and play a pivotal role in shaping the future of our clients' procurement ecosystems. In this role, you will collaborate closely with customers, partners, and product team to map complex procurement workflows, optimize functional solutions, and drive continuous improvement. Your functional expertise will be instrumental in enhancing our customers' spend management strategies and ensuring long-term customer success.

WHAT YOU WILL DO WITH US

• Lead end-to-end implementations of functional workstreams (Procure-to-Pay, Sourcing to Contracts, Supplier Relationship Management) from the start to production delivery.
• Deploy our agentic AI solutions by leveraging your deep procurement domain expertise and natural language (prompting and functional logic) to tailor AI behaviors specifically to the customer’s unique business context.
• Actively work with the Solution Architect in the Design phase by sharing with the Customer or Partner leading practices, demonstrating the product, conducting fit-gap analysis, and taking full functional ownership of the design document.
• Actively work alongside Solution Architects by sharing leading practices with the Customer or Partner, demonstrating the product, and taking full functional ownership of the design document.
• Support partners during the implementation by providing feedback on the design and performing configuration reviews during the implementations.
• Oversee and contribute to the Delivery and Deployment plan and ultimately guarantee successful deployment to Production.
• Configure the solution and coordinate the effort with other team members to guarantee project milestones are met.
• Incorporate customer feedback to assess and enhance product features.
• Ensure PMO (Project Management Office) activities and support change management initiatives to drive end-user adoption.

YOUR PROFILE

If you have the below experience and strengths this role could be for you:

Skills and Experience:

• Minimum 5 years of functional experience in procurement, SRM, Supply Chain
• Prior experience with software and Software as a Service (SaaS) implementation projects is a plus.
• Proven experience driving digital transformation using leading cloud procurement platforms, with a strong aptitude for leveraging natural language to guide AI/automation tools.
• Experience in managing client & partners relationships, leading workshops, and acting as a trusted business advisor.
• Deep functional knowledge of Source-to-Pay (S2P) lifecycles combined with excellent Project Management skills.
• Relevant procurement or project management certifications (e.g., CIPS, CPSM, PMP) are highly preferred.

Soft Skills :

• Excellent interpersonal and communication skills, with the ability to inspire clients during workshops and build strong, collaborative partnerships
• Ability to work in a fast-paced agile environment and work in close collaboration with clients and partners.
• Self-driven, results oriented, autonomous and flexible
• Ability to mentor peers on procurement and spend management processes.
• You will go through Ivalua’s certification process to learn the Product.
• An excellent command of English
• BS/BA degree in Procurement, Computer science, or a closely related field or foreign equivalent.

WHAT HAPPENS NEXT

If your application fits this specific position’s needs, our skilled Talent team will reach out to schedule an initial screening call. Get one step closer to achieving your goals – apply today! 

Our Talent team will guide you through every step of the interview process - from preparation to completion. They're here to support you! 

Our recruitment process is designed to assess your competencies through a series of personalised interviews with internal stakeholders relevant to the role. 

Interviews will be conducted virtually via video or on-site with face-to-face meetings.

LIFE AT IVALUA

• Hybrid working model (3 days in the office per week),
• We're a team dedicated to pushing the boundaries of product innovation and technology,
• Sustainable Growth, Privately Held,
• A stable and cash-flow positive Company since 10 years,
• Snacks and weekly lunches in the office,
• Feel empowered to pursue your goals with improved team collaboration and increased creativity/productivity,
• Unlock and unleash your full professional potential with our exceptional training and career development program,
• Join a dynamic and international team of top-notch professionals who are experts in their respective fields. Collaborate with like-minded individuals who are deeply passionate and highly motivated about their work. Experience a truly diverse and inclusive work environment where your unique contributions are highly valued,
• Regular social events, competitive outings, team running events, and musical activities,
• Comparably recognized Ivalua for the following (https://www.comparably.com/companies/ivalua) :

Powered by People - Powered by You!

United by our values we embrace diversity and equity in the broadest possible sense to create an inclusive workplace. To help our customers make supply chains more efficient, sustainable and resilient, we rely on a global team with a variety of backgrounds, skills and views. We believe in equal opportunity and in diversity as a driver of innovation that cultivates a spirit of inclusiveness, creates a productive and fun place to work, and provides fulfilling career opportunities for all Ivaluans. 

Experience life at Ivalua - check out our captivating video! Gain insight into our unique company culture and get a glimpse of what it's like to work with us.

#LI-DK1

Overview:

Guidepoint is an enterprise software organization embarking on a modernization strategy from a legacy monolith to a cloud-native, Kubernetes-based environment. With multiple product and platform teams delivering reusable services across the enterprise, We are seeking a highly experienced PostgreSQL Database Administrator and Architect to design, operate, and evolve PostgreSQL platforms that support cloud-native, microservices-based applications. This role is critical to ensuring our data layer is scalable, resilient, secure, and aligned with Kubernetes-driven architectures.

You will work closely with platform engineering, DevOps, SRE, and application teams to design PostgreSQL architectures that seamlessly support containerized workloads, distributed systems, and high-throughput microservices. This is a hands-on leadership role requiring deep PostgreSQL expertise combined with modern cloud and Kubernetes experience. This role is essential for driving modernization, reducing duplication, accelerating delivery, and building a cohesive, future-ready enterprise architecture.

This position is a hybrid position out of our Pune office.

What You’ll Do:

• Design, deploy, and operate PostgreSQL platforms for microservices in Kubernetes environments, ensuring scalability and resilience
• Architect and manage Azure PostgreSQL (Flexible Server & Hyperscale/Citus) for high availability, disaster recovery, and global scale
• Lead performance tuning, troubleshooting, and capacity planning across database and infrastructure layers
• Drive cloud migration and modernization from legacy/on-prem systems to cloud-native PostgreSQL
• Partner with engineering teams to enable CI/CD, automation, and zero-downtime deployments
• Implement security, compliance, backup, and disaster recovery strategies
• Define database design patterns for microservices, including distributed and event-driven architectures
• Build automation using IaC tools (Terraform, Bicep) and scripting (Python, Bash, PowerShell)
• Establish monitoring/observability, define best practices, and mentor teams as a senior technical leader

Required Technical Qualifications:

• 8+ years in software architecture, cloud engineering, or platform engineering.
• Strong expertise in: 
• Domain-driven design (DDD) and domain decomposition
• Cloud-native design principles and modernization strategies
• Event-driven design, messaging platforms (Kafka, Azure Service Bus)
• Cloud-native patterns such as CQRS, Saga, Event Sourcing, Circuit Breakers
• Demonstrated proficiency in programming languages with the ability to assess current application structures and determine appropriate modernization approaches.
• Experience with authentication and identity, including Auth0, OIDC, OAuth2, and SSO.
• Experience in API architecture, including REST, GraphQL, and gateways, is required.
• Experience using AI-powered tooling to support PostgreSQL administration, troubleshooting, and operational efficiency.

Desired Technical Qualifications:

• Kubernetes, Containers, service mesh, ingress/egress patterns  
• Microservices and distributed systems 
• Ci/CD pipelines, Helm charts, GitOps and modern DevOps tooling

What We Offer:

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

About Guidepoint:

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

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

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

#LI-NJ1

#LI-HYBRID

Overview:

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

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

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

Tech Stack Mandate

What You’ll Do: 

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

Required Technical Qualifications: 

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

Preferred Qualifications: 

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

Competencies:

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

What We Offer: 

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

About Guidepoint: 

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

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

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

#LI-AD2

#LI-HYBRID

About the Role

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

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

How will you make an impact?

Agentic AI POCs & Pilots

• Design and build Agentic AI proofs of concept

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

• Prototype rapidly

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

Development & Engineering

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

Collaboration & Knowledge Sharing

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

Have you got what it takes?

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

Programming proficiency:

.

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

AI & Machine Learning Understanding

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

LLM Usage & Prompt Engineering

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

Version Control & Collaboration Tools

• GitHub / Git proficiency:

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

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

.

You will have an advantage if you also have:

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

What’s in it for You?

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

Enjoy NICE-FLEX!

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

Requisition ID: 10692                

Reporting into: Director,Solution Engineering

Position Summary:

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

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

Key Responsibilities:

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

Basic Qualifications:

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

Preferred Qualifications:

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

Position Summary:

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

Key Responsibilities:

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

Basic Qualifications:

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

Preferred Qualifications:

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

We are looking for an experienced Database Architect to design and govern scalable, secure, and high-performing database solutions across enterprise applications. The ideal candidate should have strong expertise in database architecture, data modeling, performance tuning, cloud databases, security, and DevOps-enabled database deployments.

This role will work closely with application teams, DevOps, infrastructure, and business stakeholders to define the right database strategies and ensure robust, future-ready solutions.

Key Responsibilities

• Design logical, physical, and conceptual data models
• Define database architecture standards, schema design, naming conventions, and best practices
• Design scalable, multi-tenant, and high-availability database solutions
• Evaluate and recommend the right database technologies such as SQL Server, Azure SQL, PostgreSQL, DB2, and NoSQL platforms
• Optimize database performance through indexing, query tuning, partitioning, and execution plan analysis
• Design and implement security controls including access management, encryption, masking, and auditing
• Ensure compliance with standards such as GDPR, SOX, HIPAA, PCI, where applicable
• Define backup, restore, disaster recovery, and data integrity strategies
• Support CI/CD and automated database deployments using DevOps practices
• Collaborate with development and architecture teams to review and approve database designs
• Create ER diagrams, architecture documents, and runbooks
• Mentor developers / DBAs on database best practices

Required Skills

• Strong experience in SQL Server / Azure SQL Database
• Good experience in PostgreSQL and DB2
• Strong knowledge of data modeling, normalization, and database design
• Expertise in SQL performance tuning, indexing, query optimization, and execution plans
• Experience with cloud database architectures, preferably on Azure
• Understanding of high availability, failover, backup, and disaster recovery
• Knowledge of database security, access control, and compliance-driven design
• Experience with Git, CI/CD, Terraform / Bicep / ARM, Azure DevOps or GitHub Actions
• Good understanding of microservices, distributed systems, and integration-heavy applications
• Strong documentation, communication, and stakeholder management skills

Preferred

• Experience with NoSQL databases such as Cosmos DB / MongoDB / DynamoDB
• Exposure to regulated industries like Banking, Insurance, Healthcare, etc.
• Strong architectural thinking with ability to balance scalability, security, and business needs

Soft Skills

• Strong analytical and problem-solving ability
• Excellent communication and collaboration skills
• Ability to influence and challenge design decisions constructively
• Mentorship and leadership mindset

THIS IS 5 DAYS WORK FROM OFFICE OPPORTUNITY

DevSecOps Lead

Job Summary:

We are seeking a highly skilled and experienced DevSecOps Architect/Lead to lead the architecture, deployment, and configuration of DevSecOps solutions across hybrid and multi-cloud environments. The ideal candidate will have hands-on expertise in designing and implementing DevSecOps CI/CD solutions for automating end-to-end Delivery pipeline.

Experince Level:  9 to 12 ( Relevant years ) 

Key Responsibilities:

• Architect enterprise-grade DevSecOps solutions inline with industry standards
• Lead the discovery of CI/CD and IaC  and develop the blueprints for target architecture
• Lead the Assessment of the current state DevSecOps maturity and align to industry maturity models
• Must be able to design and architect the DevSecOps ecosystem from scratch
• Develop ways of working for Continuous Integration and Continuous Delivery with automated DevSecOps platforms
• Must have hands-on deep expertise in setting up CI/CD pipelines, IaC for Infrastructure provisioning, Security and Quality integrations in the pipeline with GitHub actions workflows.
• Design and implement end to end CI/CD pipelines with quality and security integration
• Design the CI/CD and IaC infrastructure and create standardized blueprints and reusable components
• Implement SAST, DAST, SCA tools and integrate in the CI/CD pipeline
• Good understanding of Azure Kubernetes and AWS Kubernetes
• Work closely with the customer Application teams and Infrastructure teams
• Implement reusable pipeline and IaC templates for infrastructure provisioning and integrate with the CI/CD pipelines
• Lead the onboarding of applications on the Core DevSecOps platform
• Understanding of GitOps practices using ArgoCD
• Develop Golden paths for Pipeline and IaC
• Create target architecture for enabling DevSecOps for applications and infrastructure
• Work with Observability team for DevSecOps integration with AIOps platform
• Design and build dashboards for end-to-end value stream visibility
• Implement identity, RBAC, and security controls for DevSecOps tools
• Create runbooks and SOP for application onboarding
• Develop wave plans for Enterprise rollout of the DevSecOps platform and practices.
• Good to have experience setting up DevSecOps Community of Practice and Centre of Excellence.

Required Skills & Qualifications:

• Proven hands-on experience with multiple CI/CD platforms like GitHub actions (primary), Azure DevSecOps, GitLab environments.
• Proven experience with GitHub Enterprise Server, JFrog Artifactory/Xray, Black Duck, and Open Source Libraries.
• Experience with Developer Toolchains (Ansible, Docker, Maven, Node, Python, Gulp, React, NuGet, Java/JDK/JRE)
• Strong knowledge of Azure, AWS, and GCP cloud infrastructure.
• Experience with integration of security (SAST, DAST, SCA) tools like Black Duck, Trivy, Synk, SonarQube, Veracode, Fortify in the pipeline
• Strong in IaC tools like Terraform or infrastructure provisioning (VMs, AKS, containers).
• Experience with application onboarding at scale on the DevSecOps platform
• Familiarity configuration management tools like Ansible for Infrastructure configurations.
• Familiarity with GitOps tools like ArgoCD
• Strong analytical skills and understanding of DevSecOps practices.
• Excellent communication and documentation skills.
• Experience working with Application teams to develop the target state DevSecOps architecture 

Summary: The Dynatrace Observability Lead/Architect is responsible for defining and driving the end-to-end observability strategy, architecture, integration, and implementation. This role ensures alignment with SRE and DevOps practices, enables AIOps capabilities, and leads the onboarding, optimization, and continuous improvement of observability across the organization.

Responsibilities:

• Define observability strategy, standards, and architecture (metrics, logs, traces, APM)
• Establish SLIs, SLOs, error budgets, and observability readiness standards
• Define tagging, metadata, and telemetry standards (naming, formats, traceability)
• Design integration architecture across CI/CD, observability, and ITSM platforms
• Define and enforce governance model, compliance, and audit requirements
• Establish KPIs and success metrics aligned with business and reliability goals
• Consolidate findings from assessments and identify risks and improvement areas
• Develop observability maturity assessment (DevOps/SRE alignment)
• Define implementation roadmap (quick wins vs long-term initiatives)
• Drive stakeholder workshops and validations
• Lead integration of CI/CD pipelines with observability (logs, metrics, traces, deployment markers)
• Implement tagging strategy (app, env, version, commit ID)
• Integrate with incident, change, and release management systems
• Define and implement service-level KPIs and golden signals
• Build operational and business dashboards
• Configure event correlation and alert tuning to reduce noise
• Track reliability metrics (MTTR, SLOs, change failure rate)
• Define and implement AIOps architecture and use cases
• Drive AIOps (anomaly detection, RCA, event correlation, predictive insights)
• Implement automation, runbooks, and self-healing workflows
• Lead application onboarding and ensure standards adoption
• Act as primary stakeholder interface and drive best practices across teams

Required Skills & Qualifications:

• Proven hands-on experience with Dynatrace SaaS and Managed environments
• Strong knowledge of Azure, AWS, and GCP cloud infrastructures
• Proficiency in infrastructure monitoring (VMs, containers), application performance monitoring (APM), and log analytics
• Familiarity with ActiveGate, OneAgent, Network zone, Extension deployment, and SNMP device monitoring
• Strong experience in Digital experience monitoring
• Strong analytical skills and understanding of AIOps practices
• Excellent communication and documentation skills
• Experience in creating dashboards and defining alert strategies
• Strong experience with Dynatrace (APM, Infra, Logs, DEM, AIOps)
• Deep understanding of SRE, DevOps, and Observability principles
• Experience with CI/CD tools and cloud platforms (Azure/AWS/GCP)
• Knowledge of ITSM integrations and incident management workflows
• Experience in automation, scripting, and AIOps implementations

Preferred Qualifications:

• Dynatrace certification (Associate or Professional)
• ITIL or Service Management experience
• Exposure to enterprise security and compliance standards
• Experience working in multi-tenant or large enterprise environments

Experience Level :10 to 13 years

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.

Role Overview:

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

Key Responsibilities:

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

Key Skills:

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

Good to Have:

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

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day :

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team :

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 5+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

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

About the Role

Specialist Engineer, Advanced Technical Support, Public Cloud is expected to bring a high level of technical knowledge of both 3rd party products and Veeam products with a focus in the Veeam Backup for AWS, Veeam Backup for Microsoft Azure, and Veeam Backup for Google Cloud, Veeam Data Cloud for Microsoft Azure offerings, communicate effectively, collaborate efficiently with other team members to improve team knowledge and maintain a high level of customer satisfaction, as well as provide technically complex client support for Veeam’s products via the telephone and email.

What You’ll Do

• Provide in depth/expert technical support and troubleshooting for Veeam Software’s clients via telephone, email, and web conferencing
• Handle Support cases escalated from the Technical Support tier and from less experienced ATS tier colleagues, and requiring a deeper expertise level to address respective issues
• Analyze, diagnose, and provide solutions and/or workarounds to the protected 3rd party software, operating systems, networks and applications in relation to Veeam software product problems/questions.
• Monitor the cases for SLA/OLA compliance
• Update and work assigned cases in a timely manner;
• Document of all customer interactions accurately and within SLA in the CRM tool;
• Be available for call transfers for existing and new cases that are generated.
• Maintain strong customer rapport and excellent, timely communication.
• Communicate effectively with QA, R&D, PM and other related departments in cross-tasks and projects.
• Contribute to the internal Knowledge Base in respective technical segment
• Routinely train and mentor less experienced engineers.
• Perform other Knowledge Sharing activities (participate in various department-wide pilot projects, conduct trainings or study halls, or internal team workshops, etc.)
• Operate in an environment with frequent changes, as well as stressful situations.
• Proactively staying up to date with all the latest technologies concerning Veeam’s products and the underlying technologies.
• Collaborate with other software vendors on cases from mutual customers (TSANet) whenever requested to
• Perform other duties as assigned

What You’ll Bring

• Certifications in Amazon Web Services, Microsoft Azure, Google Cloud are highly desired (ideally Architect level);
• Strong understanding of Amazon Web Services, Microsoft Azure, Google Cloud and other Public Cloud solutions (Virtual Machines and Object Storage) and native backup tools;
• Strong knowledge of TCP/IP (OS, firewalls configuration) and networking configuration/troubleshooting (NAT, ports, DHCP, DNS, Wireshark);
• Basic knowledge of the Linux-based OS (administrator level);
• Basic knowledge of Windows OS, PowerShell and CMD CLI;
• Basic knowledge of virtualization technologies (VMware vSphere).
• 3-5 years of technical troubleshooting experience in a role where analytical troubleshooting and problem resolution skills were required
• Proven track record of high customer satisfaction ratings in customer or technical service role
• Creativity and perseverance for solving technical problems and the ability to perform deep log analysis of proprietary software logging and/or external application performance analysis

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

#LI-SK1

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.

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.

The Role

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

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

What You Will Do

• Build & Deploy (60%):

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

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

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

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

• Customer Engineering (40%):

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

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

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

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

The "Must-Haves"

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

The "Why You" (Soft Skills)

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

What will set you apart

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

Tech Stack

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

The Role

We’re looking for a hands-on Network Engineer to design, deploy, and enable our global corporate network across offices in APAC. You’ll be the technical expert  for physical and virtual networking architecture, driving automation, and ensuring our infrastructure is resilient, scalable, and vendor-agnostic. This role will partner closely with Corporate Technology, Network Security, and Security Engineering and requires the ability to travel within APAC to support our regional offices.

What You’ll Do

• Architect and implement LAN/WAN/SD-WAN and Wi-Fi for multiple global offices.
• Manage Cisco Meraki switches/routers and  APs, while staying vendor-agnostic for future integrations.
• Implement and manage Wi-Fi EAP (Enterprise Authentication), certificate-based authentication, and enforce zero-trust access controls.
• Plan and optimize enterprise Wi-Fi, including RF design, surveys, and performance tuning.
• Build secure cloud and hybrid networking (AWS, Azure, GCP).
• Automate deployments and configuration management with Python, Ansible, and IaC tools (Terraform, GitOps).
• Implement observability and alerting; drive improvements in MTTR and service reliability.
• Support compliance (SOC 2, ISO 27001) with configs, change control, and documentation.
• Travel regionally (approx. 25–40% during buildouts) for on-site deployments and architecture reviews.

Who You Are

• 8–10+ years in enterprise networking, with multi-site design and operations experience.
• Deep expertise in routing, switching, and segmentation.Proven experience with Cisco networking technology, especially Cisco Meraki.
• Proficient in Python and Ansible for automation.
• Skilled in NAC/RADIUS integrations with identity providers (Okta, Azure AD).
• Strong understanding of certificate-based authentication, EAP, and zero-trust architectures.
• Strong troubleshooting, documentation, and leadership skills.
• Willing and able to travel internationally for deployments.

Nice to Have:

• Cloud networking depth (AWS, Azure, GCP).
• Experience with SASE/ZTNA platforms(Cloudflare/Zscaler).
• Professional certifications (CCNP, CCIE, JNCIP, etc.)

The Role

We’re looking for a hands-on Network Engineer to design, deploy, and enable our global corporate network across offices in APAC. You’ll be the technical expert  for physical and virtual networking architecture, driving automation, and ensuring our infrastructure is resilient, scalable, and vendor-agnostic. This role will partner closely with Corporate Technology, Network Security, and Security Engineering and requires the ability to travel within APAC to support our regional offices.

What You’ll Do

• Architect and implement LAN/WAN/SD-WAN and Wi-Fi for multiple global offices.
• Manage Cisco Meraki switches/routers and  APs, while staying vendor-agnostic for future integrations.
• Implement and manage Wi-Fi EAP (Enterprise Authentication), certificate-based authentication, and enforce zero-trust access controls.
• Plan and optimize enterprise Wi-Fi, including RF design, surveys, and performance tuning.
• Build secure cloud and hybrid networking (AWS, Azure, GCP).
• Automate deployments and configuration management with Python, Ansible, and IaC tools (Terraform, GitOps).
• Implement observability and alerting; drive improvements in MTTR and service reliability.
• Support compliance (SOC 2, ISO 27001) with configs, change control, and documentation.
• Travel regionally (approx. 25–40% during buildouts) for on-site deployments and architecture reviews.

Who You Are

• 8–10+ years in enterprise networking, with multi-site design and operations experience.
• Deep expertise in routing, switching, and segmentation.Proven experience with Cisco networking technology, especially Cisco Meraki.
• Proficient in Python and Ansible for automation.
• Skilled in NAC/RADIUS integrations with identity providers (Okta, Azure AD).
• Strong understanding of certificate-based authentication, EAP, and zero-trust architectures.
• Strong troubleshooting, documentation, and leadership skills.
• Willing and able to travel internationally for deployments.

Nice to Have:

• Cloud networking depth (AWS, Azure, GCP).
• Experience with SASE/ZTNA platforms(Cloudflare/Zscaler).
• Professional certifications (CCNP, CCIE, JNCIP, etc.)

The Role

We’re looking for a hands-on Network Engineer to design, deploy, and enable our global corporate network across offices in APAC. You’ll be the technical expert  for physical and virtual networking architecture, driving automation, and ensuring our infrastructure is resilient, scalable, and vendor-agnostic. This role will partner closely with Corporate Technology, Network Security, and Security Engineering and requires the ability to travel within APAC to support our regional offices.

What You’ll Do

• Architect and implement LAN/WAN/SD-WAN and Wi-Fi for multiple global offices.
• Manage Cisco Meraki switches/routers and  APs, while staying vendor-agnostic for future integrations.
• Implement and manage Wi-Fi EAP (Enterprise Authentication), certificate-based authentication, and enforce zero-trust access controls.
• Plan and optimize enterprise Wi-Fi, including RF design, surveys, and performance tuning.
• Build secure cloud and hybrid networking (AWS, Azure, GCP).
• Automate deployments and configuration management with Python, Ansible, and IaC tools (Terraform, GitOps).
• Implement observability and alerting; drive improvements in MTTR and service reliability.
• Support compliance (SOC 2, ISO 27001) with configs, change control, and documentation.
• Travel regionally (approx. 25–40% during buildouts) for on-site deployments and architecture reviews.

Who You Are

• 8–10+ years in enterprise networking, with multi-site design and operations experience.
• Deep expertise in routing, switching, and segmentation.Proven experience with Cisco networking technology, especially Cisco Meraki.
• Proficient in Python and Ansible for automation.
• Skilled in NAC/RADIUS integrations with identity providers (Okta, Azure AD).
• Strong understanding of certificate-based authentication, EAP, and zero-trust architectures.
• Strong troubleshooting, documentation, and leadership skills.
• Willing and able to travel internationally for deployments.

Nice to Have:

• Cloud networking depth (AWS, Azure, GCP).
• Experience with SASE/ZTNA platforms(Cloudflare/Zscaler).
• Professional certifications (CCNP, CCIE, JNCIP, etc.)

The Role

We’re looking for a hands-on Network Engineer to design, deploy, and enable our global corporate network across offices in APAC. You’ll be the technical expert  for physical and virtual networking architecture, driving automation, and ensuring our infrastructure is resilient, scalable, and vendor-agnostic. This role will partner closely with Corporate Technology, Network Security, and Security Engineering and requires the ability to travel within APAC to support our regional offices.

What You’ll Do

• Architect and implement LAN/WAN/SD-WAN and Wi-Fi for multiple global offices.
• Manage Cisco Meraki switches/routers and  APs, while staying vendor-agnostic for future integrations.
• Implement and manage Wi-Fi EAP (Enterprise Authentication), certificate-based authentication, and enforce zero-trust access controls.
• Plan and optimize enterprise Wi-Fi, including RF design, surveys, and performance tuning.
• Build secure cloud and hybrid networking (AWS, Azure, GCP).
• Automate deployments and configuration management with Python, Ansible, and IaC tools (Terraform, GitOps).
• Implement observability and alerting; drive improvements in MTTR and service reliability.
• Support compliance (SOC 2, ISO 27001) with configs, change control, and documentation.
• Travel regionally (approx. 25–40% during buildouts) for on-site deployments and architecture reviews.

Who You Are

• 8–10+ years in enterprise networking, with multi-site design and operations experience.
• Deep expertise in routing, switching, and segmentation.Proven experience with Cisco networking technology, especially Cisco Meraki.
• Proficient in Python and Ansible for automation.
• Skilled in NAC/RADIUS integrations with identity providers (Okta, Azure AD).
• Strong understanding of certificate-based authentication, EAP, and zero-trust architectures.
• Strong troubleshooting, documentation, and leadership skills.
• Willing and able to travel internationally for deployments.

Nice to Have:

• Cloud networking depth (AWS, Azure, GCP).
• Experience with SASE/ZTNA platforms(Cloudflare/Zscaler).
• Professional certifications (CCNP, CCIE, JNCIP, etc.)

The Role

We’re looking for a hands-on Network Engineer to design, deploy, and enable our global corporate network across offices in APAC. You’ll be the technical expert  for physical and virtual networking architecture, driving automation, and ensuring our infrastructure is resilient, scalable, and vendor-agnostic. This role will partner closely with Corporate Technology, Network Security, and Security Engineering and requires the ability to travel within APAC to support our regional offices.

What You’ll Do

• Architect and implement LAN/WAN/SD-WAN and Wi-Fi for multiple global offices.
• Manage Cisco Meraki switches/routers and  APs, while staying vendor-agnostic for future integrations.
• Implement and manage Wi-Fi EAP (Enterprise Authentication), certificate-based authentication, and enforce zero-trust access controls.
• Plan and optimize enterprise Wi-Fi, including RF design, surveys, and performance tuning.
• Build secure cloud and hybrid networking (AWS, Azure, GCP).
• Automate deployments and configuration management with Python, Ansible, and IaC tools (Terraform, GitOps).
• Implement observability and alerting; drive improvements in MTTR and service reliability.
• Support compliance (SOC 2, ISO 27001) with configs, change control, and documentation.
• Travel regionally (approx. 25–40% during buildouts) for on-site deployments and architecture reviews.

Who You Are

• 8–10+ years in enterprise networking, with multi-site design and operations experience.
• Deep expertise in routing, switching, and segmentation.Proven experience with Cisco networking technology, especially Cisco Meraki.
• Proficient in Python and Ansible for automation.
• Skilled in NAC/RADIUS integrations with identity providers (Okta, Azure AD).
• Strong understanding of certificate-based authentication, EAP, and zero-trust architectures.
• Strong troubleshooting, documentation, and leadership skills.
• Willing and able to travel internationally for deployments.

Nice to Have:

• Cloud networking depth (AWS, Azure, GCP).
• Experience with SASE/ZTNA platforms(Cloudflare/Zscaler).
• Professional certifications (CCNP, CCIE, JNCIP, etc.)

The Role

We’re looking for a hands-on Network Engineer to design, deploy, and enable our global corporate network across offices in APAC. You’ll be the technical expert  for physical and virtual networking architecture, driving automation, and ensuring our infrastructure is resilient, scalable, and vendor-agnostic. This role will partner closely with Corporate Technology, Network Security, and Security Engineering and requires the ability to travel within APAC to support our regional offices.

What You’ll Do

• Architect and implement LAN/WAN/SD-WAN and Wi-Fi for multiple global offices.
• Manage Cisco Meraki switches/routers and  APs, while staying vendor-agnostic for future integrations.
• Implement and manage Wi-Fi EAP (Enterprise Authentication), certificate-based authentication, and enforce zero-trust access controls.
• Plan and optimize enterprise Wi-Fi, including RF design, surveys, and performance tuning.
• Build secure cloud and hybrid networking (AWS, Azure, GCP).
• Automate deployments and configuration management with Python, Ansible, and IaC tools (Terraform, GitOps).
• Implement observability and alerting; drive improvements in MTTR and service reliability.
• Support compliance (SOC 2, ISO 27001) with configs, change control, and documentation.
• Travel regionally (approx. 25–40% during buildouts) for on-site deployments and architecture reviews.

Who You Are

• 8–10+ years in enterprise networking, with multi-site design and operations experience.
• Deep expertise in routing, switching, and segmentation.Proven experience with Cisco networking technology, especially Cisco Meraki.
• Proficient in Python and Ansible for automation.
• Skilled in NAC/RADIUS integrations with identity providers (Okta, Azure AD).
• Strong understanding of certificate-based authentication, EAP, and zero-trust architectures.
• Strong troubleshooting, documentation, and leadership skills.
• Willing and able to travel internationally for deployments.

Nice to Have:

• Cloud networking depth (AWS, Azure, GCP).
• Experience with SASE/ZTNA platforms(Cloudflare/Zscaler).
• Professional certifications (CCNP, CCIE, JNCIP, etc.)

Overview of Role

66degrees is seeking a Technical Product Owner / Product Architect within the Innovation team to drive the next generation of intelligent products and solutions. This role operates at the intersection of product strategy, technical architecture, and engineering execution, enabling the organization to rapidly conceptualize, design, and scale high-impact products.

You will play a critical role in translating business vision into scalable technical solutions, partnering with cross-functional teams across AI, data, and cloud engineering. This role is ideal for someone who combines strong technical depth with product thinking, thrives in ambiguity, and is passionate about building solutions that create measurable business impact.

Responsibilities

• Drive Product Innovation: Lead end-to-end product development from ideation to execution, contributing to roadmap, feature definition, and delivery.
• Architect Scalable Solutions: Define and review system architecture, ensuring scalability, performance, and long-term sustainability of products.
• Bridge Business & Technology: Translate business requirements into technical solutions while aligning stakeholders across product, engineering, and leadership teams.
• Enable Product Strategy: Evaluate build vs. buy decisions, assess market solutions, and contribute to product vision and go-to-market alignment.
• Execution Ownership: Work closely with engineering teams to ensure high-quality delivery, proactively identifying risks, dependencies, and trade-offs.
• Cross-functional Collaboration: Partner with AI, data, and cloud teams to build innovative, data-driven products and accelerators.
• Continuous Improvement: Drive process improvements and bring a structured yet flexible approach to product and engineering workflows.

Qualifications

• 8+ years of experience with a strong foundation in software engineering, architecture, or technical product roles.
• Proven experience in system design, solution architecture, and scalable application development.
• Strong understanding of data platforms, backend systems, and cloud-based architectures.
• Experience working in product-driven or consulting environments, with exposure to enterprise-scale  implementations.
• Ability to translate complex business problems into technical solutions and drive execution.
• Strong collaboration and communication skills with the ability to work across technical and non-technical stakeholders.
• Proficiency in Agile/Scrum methodologies and product development lifecycle.
• Preferred: Experience in enterprise architecture frameworks (e.g., TOGAF) or similar.
• Preferred: Background transitioning from development to architecture to product/consulting roles.

The Role

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

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

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

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

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

What You’ll Do

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

Who You Are

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

Bonus

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

Overview of Role

As 66degrees continues its rapid growth, we are seeking a hands-on, highly technical IT Operations Manager to build and manage our internal IT Operations function. This is a critical management role responsible for the stability, integrity, and operational excellence of our core information technology systems.

Reporting to the Director/VP of Technology, you will take ownership of our cloud infrastructure, hardware assets, and our comprehensive portfolio of SaaS business applications, along with the team members dedicated to each of these IT subsets. You will build and mentor a team of talented IT engineers, establish and manage operational processes, and serve as the key escalation point for all IT Operations. The ideal candidate is a player and coach with a deep technical understanding of modern infrastructure and SaaS management, capable of leading a team, guiding technical strategy, and getting hands-on with the work when the need arises.

Key Responsibilities

Team Leadership & Management

• Build, manage, and mentor a high-performing IT Operations team, including Cloud Engineers, SaaS Administrators, and Subject Matter Experts (SMEs).
• Foster a culture of collaboration, innovation, and continuous improvement, providing professional development and growth opportunities for team members.
• Serve as the primary escalation point for the IT Operations team, providing technical guidance and resolving complex IT business issues.
• Develop and maintain Standard Operating Procedures (SOPs), and best practices for our global IT department.

Cloud Infrastructure Operations

• Oversee the administration, maintenance, and optimization of all internal Cloud Platform environments.
• Lead discussions with various teams regarding their use of internal cloud infrastructure to advise on best practices and methods to automate the provisioning and management of cloud resources.
• Ensure the availability, security, and cost-efficiency of our cloud infrastructure, including Compute Engine, GKE, Cloud Storage, BigQuery, Vertex AI, Gemini Enterprise, NotebookLM Enterprise, and others.
• Oversee the implementation of robust IAM policies, network security (VPCs, VPNs, firewalls), monitoring via the Cloud Operations suite, and logging.

SaaS & Business Systems Operations

• Lead the administration, integration, and optimization of our core corporate SaaS portfolio, including Google Workspace, Salesforce, Rippling, Atlassian, Slack, Google Partner Tools, Office 365, ChurnZero, Ramp, Asana, WiseStamp, EasyDMARC, GoDaddy, and others.
• Design and enforce a comprehensive Identity and Access Management (IAM) strategy using Rippling IT, including automated user provisioning/de-provisioning (SCIM, JIT) and adherence to the Principle of Least Privilege.
• Oversee the development and maintenance of our integration strategy, leveraging iPaaS solutions like Workato, Google Apps Script, and custom scripts to build robust, automated workflows between business systems.
• Partner with business departments (HR, Sales, Marketing) to understand their needs and own the technical implementation of their core platforms, while collaborating with team members to define shared platform ownership and accountability.

Collaboration, Strategy, Security

• Partner closely with the Security Operations team to implement "as-a-service" best practices, manage our MDM solution, and gather evidence for compliance audits.
• Collaborate with global teams on infrastructure initiatives and the rollout of internal frameworks, such as Dev vs. Prod delineation.
• Evaluate, select, and manage relationships with key IT vendors and service providers, ensuring they meet performance and contractual expectations.
• Partner with the Security team for GRC buildout (Drata) and Trust Center buildout (SafeBase).

Required Qualifications

• 8-10 years of progressive experience in IT Operations or Systems Engineering, including at least 4 years in a direct management capacity leading and mentoring technical teams.
• Strong leadership and English communication skills, with a proven ability to bridge time zones and cultural nuances while managing remote/offshore resources..
• Extensive experience managing a large portfolio of enterprise SaaS applications and implementing enterprise-wide IAM strategies using a central IdP (e.g., Rippling or Okta).
• Proven ability to architect high-level strategy and manage teams while remaining technical enough to execute alongside them and provide direct hands-on support.
• Technical proficiency in Infrastructure as Code (IaC), specifically using Terraform to automate cloud infrastructure management.
• Hands-on experience with enterprise integrations, either through scripting (Python, Bash, Google Apps Script) or via an iPaaS platform (Workato preferred).
• Deep expertise in Mobile Device Management (MDM) for at-scale corporate assets, BYOD environments, and Chrome browser management.
• Extensive hands-on experience across the entire Google stack, including GCP infrastructure at scale and advanced Google Workspace administration.
• Strong understanding of ITIL v4 frameworks, particularly in Change Management and Incident Response within a high-growth environment.
• Experience with CLI tools such as gCloud, GAM, Git, Docker, Homebrew, and others.

Preferred Qualifications

• Industry-recognized IT certifications (e.g., CompTIA A+, Network+, Security+, ITIL 4, CCNA, RHCSA, CCNP, PMP, CISM).
• Prior experience thriving in the fast-paced environment of a technology consulting or professional services firm.
• Experience establishing internal governance and access controls for Enterprise AI tools (e.g., Gemini Enterprise, Vertex AI, or NotebookLM).
• Proven track record of reducing manual IT service desk tickets by 30%+ through the implementation of "Low-Code/No-Code" automation or advanced iPaaS recipes.
• Direct experience partnering with SecOps through SOC2, ISO 27001, or HIPAA compliance audits using automated GRC platforms like Drata.
• Practical experience moving an organization toward a Zero Trust security model.
• Familiarity with Lifecycle Management (LCM) transitions, moving from manual onboarding to fully automated "Zero-Touch" provisioning.
• Experience applying Agile or Kanban methodologies to internal IT Operations to manage sprint cycles for SaaS integrations and infrastructure projects.
• Prior experience managing the IT side of Mergers and Acquisitions, including domain migrations, SaaS consolidation, and tenant-to-tenant transfers.

Overview of Role

As a Cloud & Edge Engineer at 66degrees, you will bridge the gap between centralized cloud power and localized edge intelligence. You will design, build, and maintain complex infrastructure on Google Cloud Platform (GCP) and Google Distributed Cloud (GDC) for global clients, with a specific focus on Manufacturing Edge environments. You will be instrumental in optimizing performance, scalability, and security from the data center to the factory floor.

Responsibilities

• Core Responsibilities

• Infrastructure Leadership: Design and deploy highly scalable, resilient infrastructure solutions using GCP and GDC.

• Advanced Automation: Drive the implementation of Infrastructure as Code (IaC) using Terraform or Google Cloud Deployment Manager to automate intricate provisioning across cloud and edge.

• Edge & Manufacturing Excellence: Implement and support Manufacturing Edge Connect use cases, ensuring seamless integration between industrial hardware and the cloud.

• Data Architecture: Develop and maintain Data Hub architectures for centralized data ingestion, processing, and analytics.

• DevOps & CI/CD: Spearhead the integration of DevOps methodologies, guiding developers to establish sophisticated CI/CD pipelines.

• Security & Compliance: Enforce stringent security measures and ensure robust compliance (GDPR, HIPAA, CIS) across distributed environments.

• Monitoring & Resilience: Establish comprehensive monitoring, alerting, and logging; formulate disaster recovery procedures for mission-critical systems.

• Cross-Functional Collaboration: Partner with data scientists, industrial engineers, and software developers to deliver end-to-end solutions that align with complex business requirements.

Qualifications

• 1. Cloud & Edge Expertise

  • 4+ years of hands-on experience with GCP, showcasing expertise in designing, deploying, and managing cloud-based infrastructure.

  • Direct experience with Google Distributed Cloud (GDC) and deploying solutions in edge/industrial environments.

  • Proficiency in Kubernetes (GKE) and container orchestration at scale.

  2. Data & Networking

  • Data Services: Skilled in optimizing BigQuery, Cloud SQL, Dataflow, Firestore, Bigtable, Dataproc, and Pub/Sub.

  • Edge Integration: Proven ability to integrate edge systems with cloud platforms ensuring secure, low-latency, and scalable data flow.

  • Networking: Strong understanding of hybrid connectivity, VPCs, and secure edge-to-cloud networking.

  3. Automation & Scripting

  • Expertise in Terraform or similar IaC tools.

  • Proficiency in Python or Bash for automation and configuration management.

  • Comfortable managing both Linux and Windows operating systems.

  4. Soft Skills & Education

  • Problem-Solving: Ability to diagnose and resolve intricate infrastructure bottlenecks under pressure.

  • Communication: Excellent ability to translate complex technical concepts for diverse stakeholders.

  • Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

  • Certifications: GCP Professional Cloud Architect or Associate Cloud Engineer (Highly Preferred).

Overview of Role

We are seeking a highly skilled Systems Administrator to join our Managed Services team. This role is critical in maintaining the security, stability, and automation of a complex hybrid environment. You will be the primary guardian of our customer’s infrastructure, ensuring all Windows and Linux assets are patched, secure, and deployed using modern Infrastructure as Code (IaC) methodologies.

Core Responsibilities

1. Patch & Vulnerability Management

• Cross-Platform Administration: Manage the end-to-end patching lifecycle for both Linux (RHEL/Ubuntu/CentOS) and Windows Server environments.
• Vulnerability Remediation: Analyze scan results from tools (e.g., Nessus, Qualys, or Rapid7), prioritize risks based on criticality, and execute remediation plans.
• Compliance Reporting: Maintain detailed records of patching cycles and vulnerability status to meet strict Managed Services SLAs and audit requirements.

2. GCP Infrastructure Administration

• Cloud Operations: Provision, configure, and maintain resources within Google Cloud Platform (GCP), including Compute Engine, VPCs, IAM, and Cloud Storage.
• Cost & Performance Optimization: Monitor cloud health and implement scaling policies to ensure cost-efficiency and high availability.

3. Automation & Image Management

• Infrastructure as Code: Utilize Ansible to automate repetitive tasks, configuration management, and complex application deployments.
• Immutable Infrastructure: Develop and maintain automated machine image builds (Golden Images) using Packer for multi-cloud and on-premise consistency.

Technical Qualifications

Soft Skills & Managed Services Context

• SLA Driven: Ability to work under pressure to meet "Time-to-Patch" deadlines.
• Customer Centric: Excellent communication skills for explaining technical risks and maintenance windows to stakeholders.
• Detail Oriented: Meticulous documentation habits for change management and standard operating procedures (SOPs).

Overview of Role

We are seeking a highly skilled Cloud Data Engineer to join our Managed Services team. In this role, you will be the technical backbone for our enterprise clients, responsible for designing, building, and maintaining high-performance data platforms using Snowflake and Azure Databricks. You will act as a trusted advisor, ensuring that our customers' data ecosystems are scalable, secure, and cost-optimized across multi-cloud environments.

Key Responsibilities

• Platform Engineering: Design and implement end-to-end data lakehouse architectures using Azure Databricks (Delta Lake),Azure HDInsights and Snowflake Cloud Data Warehouse.
• Pipeline Development: Build scalable, metadata-driven ETL/ELT pipelines using Azure Data Factory (ADF), PySpark, and SnowSQL, including ingestion workflows from HDInsight-managed Hadoop and Kafka clusters.
• Managed Services Support: Provide Tier-3 technical support for client environments, including performance tuning, complex bug fixes, and architectural optimizations.
• Multi-Cloud Integration: Oversee data movement and integration strategies across Azure, AWS, and GCP to ensure seamless "Data Everywhere" capabilities for clients.
• Cost & Performance Governance: Monitor and optimize Snowflake credit consumption and Databricks cluster usage to ensure clients receive maximum ROI.
• Security & Compliance: Implement enterprise-grade security including Role-Based Access Control (RBAC), Row-Level Security (RLS), and data masking (Dynamic Data Masking in Snowflake / Unity Catalog in Databricks).

Required Technical Skillset

Experience & Qualifications

• Experience: 5+ years in Data Engineering, with at least 3 years of hands-on experience in both Snowflake and Databricks.
• Managed Services Background: Proven experience supporting external customers with strict SLAs and complex governance requirements.
• Multi-Cloud (Plus): Direct experience deploying Snowflake or Databricks on AWS or GCP is highly desirable.
• Certifications (Preferred): * SnowPro Core or Advanced Architect
• Databricks Certified Data Engineer Professional
• Microsoft Certified: Azure Data Engineer Associate (DP-203)

Role Purpose

The Head of the Global Capability Centre (GCC Lead) will build and scale DEPT®’s GCC into a high-performing, globally trusted delivery hub. They will lead strategy, capability development, organisational design, technical maturity, and operational excellence. The role requires deep experience running and scaling capability centres, strong technical leadership, and the ability to connect and align teams across Hexaware and DEPT® globally so they operate as one integrated unit.

Key Responsibilities

1. Strategic Leadership & Centre Growth

• Build long-term capability across engineering, QA, AI/data, PM/BA, and other technical and delivery disciplines.
• Define and execute the multi-year strategy to establish the GCC as a core global delivery hub for DEPT®.
• Lead the operating model, governance cadence, reporting structure, and performance framework for the GCC.
• Align GCC capacity and capability growth with global market demand and regional priorities.
• Represent the GCC as a senior DEPT® leader in global forums and leadership discussions.

2. Organisational Design & Leadership Structure

• Design and build the full organisational structure for the GCC, including hiring and developing craft leads, people managers, and operational roles.
• Lead all GCC teams directly, establishing a strong leadership spine and effective succession planning.
• Set clear goals, capability standards, performance metrics, and review rhythms for all GCC functions.
• Embed DEPT®’s culture, leadership expectations, and ways of working into the GCC environment.
• Partner with the EVP Technology to deliver the global AI mandate inside the GCC.
• Hold craft leads accountable for AI adoption, with targets for productivity, quality, and bench upskilling.

3. Technical Leadership & Capability Maturity

• Provide senior technical direction, ensuring the GCC consistently meets DEPT®’s engineering and delivery standards.
• Define and uphold the technical bar for hiring across engineering, QA, data, and related roles.
• Govern calibrations, technical assessments, and capability frameworks.
• Partner with global craft and delivery leaders to mature technical practices and introduce modern engineering approaches.
  
  
• Support the adoption of automation, QA acceleration, and emerging technologies including AI-assisted quality and productivity tooling.
• Drive 'Bench Value': Ensure staff in the strategic pool are actively upskilling or contributing to internal accelerators, so they remain 'hot' for assignment.

4. Hiring Quality, Talent Strategy & Workforce Planning

• Own GCC hiring quality end-to-end, ensuring strong sourcing, screening rigor and technical assessments. 
• Partner with Hexaware and DEPT® Talent Acquisition to build proactive talent pools and reduce reliance on reactive hiring.
• Monitor hiring velocity, rejection trends, skill distribution, and multi-market demand.
• Ensure effective onboarding, technical ramp-up, and integration into global delivery teams.
• Lead multi-year workforce planning aligned to DEPT®’s capability and market growth strategies.

5. Delivery Readiness & Operational Excellence

• Ensure the GCC reliably supports delivery across global regions, maintaining high-quality, predictable performance.
• Partner with Regional Resource Managers to maintain real-time visibility of talent availability, ensuring the 'Supply' side meets the 'Demand' forecast."
• Ensure 'Day 1 Assignability': Guarantee that bench resources are technically trained, culturally inducted, and administratively ready. 
• Identify delivery risks early and manage escalations collaboratively with Hexaware and DEPT® leadership.
• Strengthen cross-functional processes across TA, RM, IT, finance, operations, and people functions.
• Drive continuous improvement to elevate GCC delivery maturity and alignment with global delivery teams.
• Run the GCC as an extension of DEPT®'s regional delivery teams across EMEA and AMER, with shared craft ownership and regular working rhythms.
• Make the GCC easy for regional managers to access for resourcing and escalation, regardless of time zone.
• Earn trust through delivery proof points, transparent reporting, and visible presence in regional leadership forums.

6. Culture, Engagement & People Development

• Build an engaged, high-performance culture grounded in accountability, transparency, and growth.
• Establish communication rhythms, cultural integration initiatives, and leadership development programs.
• Partner with craft leads to create career pathways, skills development plans, and capability uplift initiatives.
• Mentor emerging leaders and support the ongoing development of India-based technical and delivery leadership.

Required Skills & Experience

Essential

• 12+ years of technology leadership, including 5+ years leading a GCC, delivery centre, or large-scale offshore hub (80–200+ people).
• Proven experience building and scaling teams, including designing organisational structures and hiring senior leadership.
• Strong engineering or technical delivery background (e.g., Engineering Manager, Architect, Technical Delivery Lead).
• Demonstrated ability to uplift technical maturity, improve delivery quality, and strengthen operational reliability.
• Experience managing in a matrix, integrated delivery model where teams support multiple markets and delivery outcomes depend on influence and alignment rather than direct control.
• Experience leading multi-disciplinary teams across engineering, QA, data, PM/BA, and operations.
• Strong stakeholder management and experience working with multi-client, multi-region delivery teams.
• Ability to operate and influence effectively in a partner-led model (e.g., DEPT® + Hexaware).

Preferred

• Previous experience in a digital agency or consulting environment is highly regarded, particularly within global or matrixed delivery structures.
• Familiarity with modern engineering practices, automation, cloud environments, and QA acceleration.
• Exposure to AI-assisted QA or productivity-enhancing engineering tools.

Role Summary

We are seeking a Principal Engineer (.NET) to lead the architecture, design, and delivery of scalable, high-performance SaaS platforms. This role merges technical expertise with strategic leadership, ensuring robust system design and engineering excellence while facilitating communication between our Pune and Boston (US) teams.

As a senior technical leader, you will oversee complex team initiatives, set architectural direction, and guide the development of solutions using the Microsoft technology stack.

Product & Technical Context

• Large-scale SaaS / enterprise platforms
• Backend: .NET / .NET Core (C#), ASP.NET Core, Entity Framework ● Architecture: Microservices, distributed systems, event-driven architecture ● Cloud: Microsoft Azure (preferred) or AWS.

Infrastructure & Tools:

• Azure Kubernetes Service (AKS), App Services
• Azure SQL, NoSQL databases
• Messaging systems (Service Bus / Kafka / RabbitMQ)
• CI/CD (Azure DevOps / GitHub Actions)
• Frontend: Angular / React (ecosystem awareness preferred)

Key Responsibilities

Architecture & System Design

• Lead system-level architecture and design for complex distributed systems.
• Develop AI-powered features that utilize large language models to enhance user workflows.
• Translate business requirements into scalable, secure, and maintainable solutions.
• Define and implement:
• Microservices architecture
• API-first design
• Event-driven systems

• Produce and maintain:
• High-Level Designs (HLDs), Low-Level Designs (LLDs)
• Architecture diagrams
• Technical documentation

• Ensure systems meet non-functional requirements:
• Scalability, performance, availability, security

Technical Leadership & Execution

• Drive architecture discussions and technical decisions across teams.
• Act as the go-to expert for the .NET ecosystem and system design.
• Stay hands-on with coding and solutioning as needed.
• Own the delivery of large-scale, cross-team initiatives.

Engineering Excellence & Best Practices

• Define and enforce:
• Coding standards
• Design patterns
• Testing strategies
• CI/CD best practices

• Ensure high-quality, maintainable, and performant codebases.
• Promote the adoption of modern engineering practices and tools.

Cloud & Infrastructure

• Architect and optimize solutions on Microsoft Azure.
• Work with:
• AKS / Kubernetes
• Azure services (App Services, Functions, Storage, Networking).
• Ensure:
• Cost optimization
• Performance tuning
• High availability and fault tolerance

Problem Solving & Decision Making

• Address complex technical challenges at scale.
• Conduct buy vs build analysis.

Make decisions considering:

• Performance
• Cost
• Maintainability
• Long-term scalability

Leadership & Mentorship

• Mentor engineers across teams and levels.
• Drive technical excellence and knowledge sharing.
• Support team growth, hiring, and succession planning.
• Serve as a technical role model within the organization.

Collaboration & Stakeholder Management

• Collaborate closely with:
• Product managers
• Engineering leaders
• Business stakeholders

• Align technical solutions with business goals.
• Effectively communicate complex technical concepts to stakeholders.

Required Skills & Experience

• 10+ years of experience in software engineering.
• Strong expertise in:
• C# / .NET / .NET Core / ASP.NET Core.

• Proven experience in:
• Designing scalable distributed systems.
• Microservices architecture.
• API design and integrations.

• Hands-on experience with:
• Microsoft Azure (must-have).
• Kubernetes / Docker.
• CI/CD pipelines.

• Strong understanding of:
• Design patterns & architecture principles.
• Performance optimization.
• High availability & fault tolerance.

• Experience with:
• SQL (Azure SQL / SQL Server).
• NoSQL databases.
• Messaging systems.

What Success Looks Like

• Scalable and well-architected systems that support business growth.
• Strong engineering practices adopted across teams.
• High system reliability, performance, and maintainability.
• Teams empowered through strong technical leadership and mentorship.

Why This Role Matters

This is a high-impact leadership role where you will define architecture at scale, influence multiple teams, and shape the technical direction of critical platforms. You will play a vital role in ensuring long-term system sustainability, innovation, and engineering excellence.

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.

Responsibilities:

• Design and develop control‑plane and system services for a firewall platform, operating above the networking dataplane (OSI Layer 3+).
• Build and maintain management interfaces and APIs, including configuration frameworks, CLI, secure access (SSH), logging, and diagnostics.
• Implement security services such as authentication (SAML), guest access, SSL/TLS handling, and certificate lifecycle management.
• Develop embedded services for content filtering, including URL categorization, reputation, and rating systems, along with SNMP/telemetry support.
• Lead efforts in  licensing systems, vulnerability remediation, and secure architecture in collaboration with cross‑functional teams.

Requirements:

• 12+ years of experience in C/C++ systems development for embedded platforms, security appliances, or network operating systems.
• Strong hands‑on expertise with configuration frameworks, service APIs, CLI development, logging systems, and secure remote access (SSH).
• Solid understanding of L3–L7 networking and security concepts, including SSL/TLS, authentication, identity federation, and PKI.
• Experience with  certificate management, license enforcement frameworks, vulnerability mitigation, and secure coding practices.
• Proficiency in Linux or embedded OS internals, debugging complex system issues, and driving technical discussions across teams.

#LI-DS9

#LI-Pune

#LI-Hybrid

#LI-CProgramming

#LI-Developer

#LI-SSL

#LI-TLS

So, what’s the role all about? 

We are seeking a skilled and forward-thinking End User Computing Architect (EUC Architect) to design, support, and maintain the end-user computing architecture across the organization, with a strong focus on macOS management using Microsoft Intune. 

The role is responsible for defining and supporting endpoint platforms including macOS, Windows, and Linux, managing device lifecycle, application delivery, security policies, and user experience. The position also provides third-tier technical support for complex endpoint issues and works closely with global IT teams to ensure a secure, scalable, and consistent digital workplace. 

How will you make an impact?  

• Design and maintain the end-user computing architecture, with strong focus on macOS device management using Microsoft Intune.  

• Manage the macOS device lifecycle, including enrolment, configuration, patching, compliance, and decommissioning.  

• Implement and maintain macOS management policies in Intune, including configuration profiles, compliance policies, and security baselines.  

• Manage Apple Business Manager (ABM) integration with Intune Automated Device Enrollment (ADE).  

• Deploy and manage macOS applications via Intune, including packaging, deployment configuration, and troubleshooting installation issues.  

• Implement macOS security controls, including FileVault, Gatekeeper, and device compliance policies.  

• Provide third-tier support for complex endpoint and device management issues.  

• Support cross-platform endpoint management and support across macOS, Windows, and Linux environments.  

• Work closely with global IT teams, security teams, and service desk to ensure consistent architecture and service delivery.  

• Design and implement device compliance and security policies aligned with enterprise standards.  

• Create and maintain technical documentation, architecture diagrams, and operational procedures.  

Have you got what it takes? 

• 5+ years of experience in endpoint management, including enterprise macOS environments.  

• Proven experience in endpoint architecture or senior endpoint engineering roles, responsible for designing and implementing scalable device management solutions.  

• Strong hands-on experience managing macOS devices using Microsoft Intune in enterprise environments.  

• Experience designing and implementing endpoint management architecture for global organizations.  

• Experience integrating Apple Business Manager (ABM) with Intune Automated Device Enrollment (ADE).  

• Experience working in large-scale environments supporting thousands of endpoints.  

• Experience defining endpoint strategy, roadmap, and technology direction.  

• Strong experience with Windows endpoint environments; experience with Linux endpoints is an advantage. 

• Experience designing and implementing VDI solutions, including Windows 365 (Cloud PC) and/or Azure Virtual Desktop (AVD), with focus on scalability, performance, and user experience. 

Architectural & Technical Skills 

• Ability to design, own, and evolve endpoint management architecture, including device lifecycle, provisioning, security controls, and application deployment strategies.  

• Experience defining and enforcing enterprise endpoint standards, policies, and best practices.  

• Strong expertise in macOS management using Microsoft Intune, including:  

• Configuration profiles  

• Compliance policies  

• Device restrictions  

• FileVault encryption enforcement and key escrow  

• macOS application deployment and packaging (PKG)  

• Strong understanding of Apple ecosystem integration, including ABM and enrollment flows.  

• Ability to design secure endpoint solutions aligned with Zero Trust principles and enterprise security frameworks.  

• Experience designing scalable and resilient endpoint solutions for global environments.  

• Experience with Windows endpoint management (Intune / SCCM), including third-tier troubleshooting, root cause analysis, and complex issue resolution.  

• Familiarity with Linux workstation environments.  

• Experience with automation and scripting (Bash, PowerShell, Python) to improve scalability and operational efficiency.  

• Strong troubleshooting capability at platform and architecture level, not only device level.  

AI & Automation Skills 

• Experience leveraging AI-driven tools and capabilities to improve endpoint management, user experience, and operational efficiency.  

• Familiarity with Microsoft Copilot and AI capabilities within Microsoft 365 / Intune ecosystem.  

• Ability to identify and implement automation opportunities using AI to reduce manual effort in endpoint provisioning, troubleshooting, and remediation.  

• Experience with AI-driven analytics and monitoring tools to proactively detect and resolve endpoint issues (e.g., performance, compliance, user experience).  

• Understanding of how to incorporate AI into service desk and support workflows, including intelligent ticketing, self-service, and knowledge automation.  

• Ability to evaluate and adopt emerging AI technologies relevant to endpoint management and digital workplace. 

Professional Skills 

• Strong architectural mindset, with the ability to translate business requirements into scalable, secure, and supportable solutions.  

• Ability to act as a third-tier escalation point for complex endpoint and platform issues.  

• Experience working with global teams across multiple regions and time zones.  

• Strong ownership with the ability to drive technical decisions, standards, and direction.  

• Strong documentation skills including architecture diagrams, standards, and technical design documents.  

• Excellent communication skills with the ability to collaborate across security, infrastructure, and operations teams. 

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: 10645
Reporting into: Team Lead, End Client Architecture
Role Type: Individual Contributor 

So, what’s the role all about?

This position will lead multiple R&D teams that are developing a portfolio of enterprise grade and cloud scale products.

We are looking for someone who is an established R&D leader, passionate about building and operating cloud native and highly distributed products that are used by millions of users in a SaaS business model, has a deep understanding of agile development methods and can lead a high-performance R&D team.

How will you make an impact?

Lead a team of talented engineers – Dev and QA. Manage all people aspects, such as hiring, reviews, mentoring, promotions, etc.

Own the development and delivery of the components under your team’s responsibility

Work with the Product Owner and Software Architect on the planning of the development activities of the product

Act as Scrum Master for the development team

Liaise with the scrum team to promote good work practices & continuous improvement

Work hands-on with your team members on development activities, perform code reviews and ensure high-quality engineering standards are achieved, including Test Automation & Unit testing

Be part of the leadership team, involved in release planning and product strategy

Engineering contact for product defect management and product support questions

Have you got what it takes?

B.E./B. Tech or M.E./M.Tech in Computer Science, Electronics Engineering OR equivalent

3+ experience managing a team of software engineers, working on enterprise products

13+ years of experience in software engineering, with Java

Proven track record of managing software projects to on-time and on-budget delivery

Technological skills and background in software development

Leadership skills - experience in leading, coaching, and motivating people

Excellent communication skills, fluent in English

Demonstrated ability to influence others, especially in sensitive or complex situations

Great initiative; proven ability to tackle projects with a can-do attitude

Comfortable with working in a complex matrix environment

Proven experience in operating within a global environment

Proven experience with working with Agile Scrum teams

Experience with iterative or Agile methodologies and techniques; Scrum approaches to software deliver a plus

Experience in working with Product companies developing enterprise software is a must

AI First Mindset

• LLM fundamentals (prompting, RAG, embeddings, hallucination control)
• ML lifecycle (training → deployment → monitoring)
• NLP basics (intent detection, summarization, sentiment)
• AI system design (human-in-loop, guardrails)

Leadership with Technical Depth

• Drive design discussions
• Mentor engineers in AI and system design
• Balance delivery and innovation
• Influence cross-functional teams
• Ability to translate problems into AI-driven solutions.

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: 10602
Reporting into: Group Manager
Role Type: People Manager

So, what’s the role all about?

The Cloud Network Engineer is responsible for the inContact's public and private cloud network architecture and security. This position evaluates current and emerging technologies, collaborating with DevOps and other business units within the company to set and ensure implementation of best practices.  The Cloud Network Engineer will work with AWS, Azure, GCP and other cloud providers including inContact's private cloud environments. This position requires strong experience with Cloud technologies; AWS, Azure and others along with proven knowledge in cloud specific networking, including VPC/VNET design, VPC/VNET peering, VPN Gateways, Cloud VPN, NAT Gateways, VGW, Cloud Load Balancers, Security Groups, Traffic Manager, Direct Peering, Direct connect/Cloud Interconnect/ ExpressRoute and other cloud related endpoints. 

How will you make an impact? 

• This position requires expert knowledge in all aspects of Networking, including but not limited to advance routing with BGP and OSPF, Firewalls and VPNs, Load Balancers, Ethernet switching, VoIP and MPLS technologies and many others.  This position develops details design specifications and ensures the implementation follows and meets these standards.  This position provides training to other team members, including mentoring other engineers.  The Cloud Network Engineer serves as the final escalation point for Cloud related issues. 

  • Acts as an internal consultant role across multiple business units, representing the Network team.
  • Research and evaluation of Cloud technologies, to address current and future needs.
  • Establishment of repeatable design strategies and automation.
  • CloudFormation updates using JSON/YMAL, Resource Manager, Deployment Manager
  • Design review of fellow architect and engineer designs/implementation plans
  • Escalation point for help in deep analysis and problem solving when needed
  • May be required to function as a technical lead on projects of any size as necessary.
  • Communicates detailed technical information in both written and verbal form across a wide range of audiences, including business stakeholders, users, developers, project management, and other  engineers.
  • Collaborates with colleagues, customers, vendors, and other parties to understand and develop architectural solutions
  • Develops a sound understanding of existing systems and processes, their strengths and limitations, and the current and future needs of the environment in which they exist. Provides vision on how they may be improved and developed.
  • Understands and explains the interactions between systems, applications, and services within the environment, and evaluates the impact of changes or additions to the environment.
  • Participates in the evaluation and/or selection of solutions or products, including requirements definition, vendor and product evaluations.
  • Acts as a local expert for areas of domain expertise.

Have you got what it takes?

• • 2+ years work experience within an internetworking environment. 
  • Experience with Cloud technologies: AWS, Azure, GCP 
  • Experience dealing with Infrastructure as code 
  • Scripting experience with JSON/YMAL for CloudFormation 
  • Manage and support AWS networking (VPC, subnets, routing, SGs, NACLs). 
  • Work on ALB, NLB, ELB configuration, health checks, and troubleshooting. 
  • Build and maintain automation using Terraform, CloudFormation, and Spacelift. 
  • Maintain GitHub repositories, code reviews, and CI/CD workflows. 
  • Support cloud operations during night shift with incident troubleshooting. 
  • Implement network changes, fixes, and enhancements for AWS workloads. 
  • Ensure cloud security best practices and collaborate with InfoSec teams. 
  • Provide documentation for changes, processes, and operational runbooks. 
  • Work closely with CloudOps, DevOps, and application teams for deployments. 
  • Expert Level experience with Palo Alto and F5 load balancers 
  • Expert Level experience with network switching and routing 
  • Extensive knowledge of networking technologies, topologies, and protocols. (TCP/IP, BGP, OSPF, SNMP, Multicast, VRRP, HSRP, switching technologies) 
  • Expert-level understanding of internetworking technologies and tools, including TCP/IP, netflow/sflow, access-control lists, policy routing, firewalls, peering, and DNS 
  • Significant OSPF and BGP design, implementation, and troubleshooting experience 
  • Experience with Authentication services such as TACACS+, RADIUS, and RSA SecurID 
  • Working knowledge of IPV6 
  • Intermediate Visio skills 
  • Working knowledge of SIP 

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: 9205
Reporting into: Manager, Cloud Operations
Role Type: Individual Contributor

Key Responsibilities

• Enterprise Data Strategy & Client Engagement:
• Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives.
• Serve as a key technical advisor for clients, translating business requirements into innovative data solutions.
• Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles.
• Data Modeling, Design & Engineering:
• Design and optimize both logical and physical data models to support enterprise-wide systems.
• Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics.
• Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance.
• Technology Evaluation & Implementation:
• Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability.
• Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk management.
• Team Leadership & Hands-On Management:
• Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects.
• Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues.
• Ensure project milestones are met through effective resource management and team coordination.
• Performance, Security & Best Practices:
• Optimize data storage, retrieval, and processing performance across various systems.
• Collaborate with security teams to enforce data governance, compliance, and privacy standards.
• Establish and promote best practices in data management, data engineering, and architecture design.
• Documentation & Reporting:
• Develop and maintain comprehensive documentation covering data architecture designs, data flows, integration processes, and project status.
• Provide regular updates and reports to both internal stakeholders and clients on project progress and system performance.

Required Qualifications

• Education:
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
• Experience:
• 10+ years of experience in data architecture, data engineering, or related roles.
• Proven experience in designing and implementing enterprise-level data solutions with a hands-on technical approach.
• Demonstrated track record of managing client relationships and leading technical teams.
• Technical Skills:
• Expertise in data modeling, data warehousing, and database design (both relational and NoSQL).
• Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies.
• Hands-on experience with cloud data platforms (e.g., Azure, Google Cloud) and modern data processing frameworks.
• Familiarity with scripting and programming languages (e.g., Python, SQL,) to support hands-on development and troubleshooting.
• Experience with data governance frameworks & solutions ( Informatica, Collibra, Purview etc
• Exceptional client management and communication skills, with the ability to interact confidently with both technical and non-technical stakeholders.
• Proven team management and leadership abilities, including mentoring, coaching, and project management.
• Strong analytical and problem-solving skills with a proactive, detail-oriented approach.
• Ability to work collaboratively in a fast-paced, dynamic environment while driving multiple projects to successful completio
• Relevant certifications such as Azure Solutions Architect, Certified Data Management Professional (CDMP), or similar credentials.

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

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

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

Your responsibilities will include:

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

What we are looking for?

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

So, what’s the role all about? 

As a Senior Specialist Software Architect, you will serve as a strategic technical leader, architecting the next generation of our highly available, secure, and automated cloud ecosystems. You will bridge the gap between business requirements and technical execution, mentoring engineering teams while pioneering the integration of AI-driven automation to enhance operational excellence. 

How will you make an impact? 

• Architectural Leadership: Design, architect, and implement resilient, high-performance system architectures and automation solutions across AWS. 
• Security-First Culture: Lead security initiatives and infrastructure audits (SOC2 Type II), ensuring comprehensive protection across networks, systems, and AI-driven application layers. 

• Continuous Innovation: Drive the evolution of CI/CD environments and evaluate emerging DevOps concepts to maintain a competitive technological edge. 

• Strategic Advisory: Act as a technical liaison between clients, leadership, and engineering teams, translating complex business needs into executable, scalable solutions. 

• Act as a subject matter expert on Java best practices as related to AWS and Azure. 
• Mentorship & Documentation: Champion engineering best practices through technical documentation, system audits, and proactive mentoring of junior and senior staff. 
• Acts as a technical liaison between clients, service engineering teams and support. 

• Review and audit of existing solutions, design and system architecture and participate in yearly security audits (like SOC2) and penetration tests. 

• Use of AI in DevOps and Security. 

Have you got what it takes?

• Experience: 10 - 15 years in production cloud operations with a mastery of Linux environments. 

• Cloud & Orchestration: 7+ years of hands-on expertise in AWS (Azure is a plus) and Kubernetes configuration management, seeking out opportunities to automate manual processes. 

• Automation Mastery: 7+ years of deep experience with Terraform; 5+ years of experience with Docker and container orchestration. 

• CI/CD & Scripting: Expert-level proficiency with Python, Bash, Jenkins, Artifactory, and Bitbucket. 

• Configuration Management: Significant experience with Ansible, Salt, Puppet or Chef. 

• AI Integration: Proven experience leveraging AI tools to optimize cloud operations, security detection, and support efficiency. 

• Ability to quickly adapt to changing priorities in a high-speed work environment. 

• Ability to participate in on-call rotation. 

• Education: BA/BS in Computer Science or equivalent professional experience. 

Preferred Technical Skills: 

• Networking: Deep understanding of firewalls, load balancers, and routing protocols. 

• Data Systems: Familiarity with MySQL, MongoDB, and PostgreSQL. 

• Observability: Advanced knowledge of Grafana, and Prometheus for proactive monitoring and alerting. 

What’s in it for you? 

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

Enjoy NiCE-FLEX! 

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

Req ID: 10136
Reporting into:Group Manager
Role Type: Individual Contributor (IC) 

Job Overview:

We are seeking an experienced Azure Cloud Application Architect to design and implement enterprise-grade, cloud-native solutions using Azure services. This role involves defining best practices for architecture, governance, security, and cost optimization while enabling CI/CD and Infrastructure as Code. You will provide technical leadership, mentor teams, and act as a trusted advisor to clients, driving modernization, migration, and innovation initiatives. The position also includes pre-sales and post-sales engagement, building strategic partnerships, and contributing to thought leadership through white papers and presentations.

Experience: 10+ years

Key Responsibilities:

• Design and implement cloud-native application architectures using Azure services (App Services, AKS, Functions, Service Bus, etc.).
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Establish governance, cost optimization, and security best practices for Azure applications.
• Work closely with DevOps teams to enable CI/CD pipelines and infrastructure as code (IaC).
• Provide technical leadership, mentoring, and guidance to development teams.      
• Define and implement best practices architecture design, deployment, and operations.
• Design highly available, scalable, and cost-effective cloud solutions meeting business requirements.
• Collaborate with cross-functional teams, including DevOps, development, and business units, to align cloud solutions with organizational goals.
• Analyse complex technical issues, provide recommendations, and lead the resolution efforts for cloud-related challenges.
• Build capabilities, offerings, service accelerators and differentiators.
• Build a go-to-market strategy that highlights our cloud offerings that best support our customers' challenges.
• Innovation and Thought leadership, bringing out white papers, blogs, presentations, and collaterals.
• Responsible for delivering solutions architecture for major clients.
• Client Relationship Management (both pre-sales, Solution & post-sales)
• Be client CIO/CTO's trusted advisor.
• Deliver superior value and conduct project reviews.
• Enable teams to deliver better value in projects.
• Coaching, Mentoring and Provide team a clear direction.

Should be hands on:

• Create and maintain architectural documentation, reports, and presentations for stakeholders.
• Define solution blueprints and oversee application modernization and migration to Azure.
• Pre-sales / post-sales (play an active role in winning business)
• Build and grow relationships with cloud and alliance partners to expand our relationship, offerings, and revenues.
• Build relationships with key client decision makers and influences in partnership with sales and marketing.

Key Skills:

• Expertise in designing high-level, enterprise grade solution architecture
• At least 10+ years of relevant experience as an Azure Cloud App Architect
• Ability to manage estimates, tasks, escalations, risks/issues
• Ability to clearly articulate concepts to people with varying technical background
• Azure Certified Solution Architect - Az 303/304/305.

About Us

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

WHY JOIN CAPCO?

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

MAKE AN IMPACT

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

#BEYOURSELFATWORK

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

CAREER ADVANCEMENT

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

DIVERSITY & INCLUSION

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

MAKE AN IMPACT

In this role, you will:

· Technical leadership for a team of engineers that focus on development, deployment and operations

· Lead and contribute to multiple pods with moderate resource requirements, risk, and/or complexity

· Interface technically with a range of stakeholders with customer and business impact

· Leading others to solve complex problems

· Experience in working within an agile, multidisciplinary DevOps team

· Migrate and re-engineer existing services from on-premises data centers to Cloud (GCP/AWS)

· ETL Engineer is responsible for performing system development work with background of various data models and data warehousing concepts.

· Write, analyse, review, and rewrite programs to departmental and Group standards

· Understanding the business requirements and provide the real-time solutions

· Following the project development tools like JIRA, Confluence and GIT

· Build and maintain operations tools for monitoring, notifications, trending, and analysis.

· Enhance programs to increase operating efficiency or adapt to new requirements

· Review code from team members Analyst/Developers as part of the quality assurance process

· Produce unit test plans with detailed expected results to fully exercise the code.

· Work closely with solution architect, business Analyst and technology lead to contribute in achieving final outcome.

· Demonstrate upward graph in adaption of various Engineering Practices.

To be successful in this role, you should meet the following requirements:

· Mandatory Skills: -

o Senior Data Engineer with Cloud (GCP) (Experience - 8 to 12 Years)

o Mandatory Google Cloud Big Query Scripting Skills or Cloud SQL hands-on experience

o Mandatory SQL PL/SQL Scripting Experience [High level expertise and hands-on work]

o Mandatory shell scripting Or Python Skills [High level expertise and hands-on work]

o Should have experience on any of the RDBMS

o Should have leadership experience.

· Good To Have: -

o GCP Data Engineer certifications is an added advantage.

o Experience/knowledge on GCP components like GCS, Big Query, Airflow, Cloud SQL and Google Cloud SDK

o Good to have knowledge - Preferable Control M or ETL Tool or Any from - UC4 Atomic, Airflow Composer

o Prefer to have Juniper Ingestion process awareness

o Experience in working within an agile, multidisciplinary ‘Dev-Ops’ team.

o Changes, Incident and Problem Management

About Us

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

WHY JOIN CAPCO?

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

MAKE AN IMPACT

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

#BEYOURSELFATWORK

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

CAREER ADVANCEMENT

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

DIVERSITY & INCLUSION

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

MAKE AN IMPACT

In this role, you will:

Job Summary:

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

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

So, what’s the role all about?

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

How will you make an impact?

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

Have you got what it takes?  

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

What’s in it for you?

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

 Enjoy NiCE-FLEX!

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

Requisition ID : 9639

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