Position Summary:

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

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

Key Responsibilities:

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

Basic Qualifications:

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

Preferred Qualifications:

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

About the Role

We are looking for a Senior Software Engineer, Reliability, you will serve as a hands-on technical leader within the SRE team, guiding senior engineers, influencing product development teams, and ensuring the systems we operate are built to be reliable, scalable, and observable from the ground up.

You will drive strategic initiatives, mentor others in the practice of SRE, and help define architectural best practices across our platform. This role is pivotal in aligning teams, enforcing high standards, and scaling SRE principles globally within Veeam.

What You’ll Do

Reliability Engineering & Resilience

• Design and evolve infrastructure to be highly available, fault tolerant, and scalable across public clouds (initially Azure, with future expansion plans to other providers).
• Establish and maintain SLIs, SLOs, and error budgets that define and enforce reliability objectives.
• Lead incident response, analysis, blameless postmortems, and sharing sessions in order to maximize learning across our entire engineering team and driving changes to the entire socio-technical engineering system.

Observability & Operational Excellence

• Drive adoption of deep observability practices, ensuring telemetry, logs, metrics, and tracing are comprehensive and actionable.
• Develop automation and self-healing tools to reduce toil and support Veeam’s fleet management strategy.
• Participate in on-call rotations and lead operational excellence across the stack.

Engineering at Scale

• Contribute to infrastructure as code (IaC), CI/CD systems, deployment automation, and scalable config management.
• Integrate and extend monitoring and chaos engineering tools to validate reliability assumptions under load and failure conditions.
• Implement testing strategies, canary deployments, and release validation pipelines to protect production environments and allow teams to safely deliver new features as quickly as possible.

Collaboration & Culture

• Embed within product and platform teams to champion reliability from design through delivery.
• Contribute to a learning culture focused on continuous improvement and proactive risk management.
• Mentor engineers and advocate for DevOps/SRE best practices across global teams.

What You’ll Bring

• 5+ years of hands-on experience in a Software Engineering role with at least 2 years in Site Reliability, Platform Engineering, or similar.
• Deep experience building systems on public cloud providers (Azure preferred)
• Strong programming skills in JS, Node, Typescript, Go, Java, C#, or similar.
• Proven track record in delivering monitoring, alerting, and observability tooling (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with IaC tools like Terraform/Pulumi, and container orchestration (e.g., Kubernetes).
• Solid understanding of distributed systems, cloud networking, and cloud-native system design.
• Excellent communication and collaboration skills across geographies and disciplines.

Bonus Skills

• Experience working on large-scale B2B SaaS platforms.
• Background in chaos engineering, resilience testing, performance testing, load testing, or incident learning programs.
• Familiarity with compliance frameworks (e.g., ISO, SOC 2, GDPR, FEDRAMP/CMMC).

What You’ll Get

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

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

#LI-KP1
#Hybrid

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 

HG Insights is looking for an exceptional product manager to help us to accelerate the development of the HG platform. You’ll work with the leading and most prominent companies in the world to solve some of their most challenging go-to-market, business operations, and strategic planning problems, worth millions (and sometimes billions) of dollars to them and their teams. You will work closely with Sales, Customer Success, Solutions, Engineering, and others to make a maximum impact across the business. 

Report to the Director of Product, you will use your product experience and domain knowledge to drive critical parts of the HG platform. 

What You'll Be Responsible For:

• Listening and learning: you'll become fluent in the problems our customers face, their use cases, our value proposition, our product, and our competitive landscape.
• Bringing a fresh perspective to our current processes, challenging the assumptions around product delivery.
• Leading effective market validation, release, rollout and positioning of strategic product offerings
• Identify and size target markets, customer segments, value propositions and use cases
• Define product KPIs and manage all HG Insights products through metric and ROI-driven methods
• Assure all product management decisions are justified based on strong financial analysis and business cases
• Identify, consider, and approve continuous upgrades to product management processes assuring that HG Insights is abiding by industry-leading product management processes
• Define the product roadmap and success metrics for your ownership areas in alignment with company vision, customer needs, and market trends.
• Engage with customers frequently to share the roadmap, collect feedback, and develop a deep understanding of their needs and challenges.
• Engage with Sales, Marketing, and Customer Success teams frequently to collect feedback, collaborate on solutions, and drive product adoption and engagement.  
• Track and measure KPIs for your product areas and proactively report learnings to leadership.
• Conduct detailed market research and customer validation to demonstrate the ROI of different product opportunities prior to investment.
• Synthesize feedback into detailed use cases based on specific, real-world product applications.
• Manage multiple backlogs of prioritized features and enhancements according to customer need and product strategy.
• Partner with Engineering to ensure requirements are clear, user stories are written, and acceptance criteria followed per agile software development principles.
• Evangelize the product vision across owned product lines to stakeholders.
• Champion the voice of customers in our product strategy.

What You’ll Need:

• 10+ years product management experience in building B2B SaaS products 
• Experience building products for the revenue-generating parts of a business (Sales, Marketing, Customer Success, Solutions/Services, Finance, C-Suite, etc.) 
• Experience designing and shipping scalable platform products with first-party integration ecosystems  
• Own AI Product Lifecycle - drive AI native products from ideation to launch - with focus on customer value
• Sharp eye for design and bias towards simplicity keeping the user experience as central focus.
• Excellent communicator, both written and verbal
• Proven track record at early stage, venture-backed tech companies.
• Ability to thrive in an intense, dynamic, convention-challenging, and high demand start-up environment
• Deep familiarity with the B2B GTM intelligence stack — including platforms like 6sense, ZoomInfo, Apollo, Demandbase, or Bombora 
• Competitive, goal oriented, coachable, and fun
• High level of personal and professional integrity and trustworthiness with strong work ethic and the ability to work independently with minimal direction
• Experience integrating data with CRM, MAP, or ERP is a plus.

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

The Senior SDET - Browser & Extension Testing will own test strategy, quality architecture, and the automated regression infrastructure for Securly's onboard filtering project — building the test systems that ensure a safety-critical Chrome extension works correctly for millions of students and keeps working through every browser update and policy change.

The onboard filtering project is a high-risk architecture change to a widely-deployed extension. A regression in allow/block decision logic, cache invalidation, or bypass prevention could expose students to inappropriate content or disrupt school operations. The test infrastructure you build is the last line of defense before production.

At L5, this is an engineering leadership role, not a QA role. You will define what 'production-ready' means for a safety-critical student product, enforce that standard through CI/CD quality gates, and contribute to extension development directly.

What You'll Do

• Define what 'passing' means for the onboard filtering project: establish written quality criteria covering correctness, security, and performance that gate production releases.
• Design and implement automated test suites covering block/allow decisions, iframe handling, cache invalidation, TTL expiry, fallback behavior, and filtering decision engine edge cases.
• Build CI/CD quality gates that prevent regressions from reaching production; own the pipeline configuration and ensure the quality bar is enforced, not advisory.
• Model bypass threats systematically: document how students exploit timing windows, iframes, DOM manipulation, redirect chains, and DNS TTL behavior — then build automated tests that catch those bypasses.
• Measure and establish written performance baselines: page load latency impact, service worker memory usage, cache sync overhead across realistic Chromebook hardware profiles.
• Contribute to Chrome extension development work in TypeScript/JavaScript alongside test responsibilities.
• Serve as the team's expert on bypass threat modeling: your analysis of how students circumvent filtering is an input to the implementation team's architecture decisions.
• Mentor engineers on test architecture as a first-class discipline.

Skills & Requirements

Who You Are

• You think like an attacker when writing tests — you do not test the happy path and call it done. You document attack vectors so the implementation team designs against them.
• You have shipped production Chrome extensions and built the test infrastructure around them. You know both sides of the work.
• You treat test architecture as a first-class engineering discipline. A feature without a regression suite is not finished.
• You define what 'quality' means on a safety-critical product and produce written criteria that hold the codebase to that standard.
• You contribute to development, not just testing — this is an L5 engineering role, and your TypeScript ships alongside your test suites.
• Your bypass threat model documents are used by the implementation team to make better architecture decisions.

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

The Role

The Senior Software Engineer (Rust) - Proxy Services will own the conversion of Securly's web filtering proxy business logic from C++ to production Rust — maintaining behavioral parity across a high-throughput proxy that handles HTTP/HTTPS traffic for millions of students daily.

A modern, memory-safe Rust proxy is already underway at Securly. When you join, the initial Rust proxy is in production and your mission is the next phase: integrating and converting the existing C++ business logic into production Rust. This means reading C++, reasoning about behavior, and re-implementing it correctly — including HTTPS tunneling, TLS interception, JavaScript injection into HTML responses (the ACP-48 shim pattern), and Redis-based policy lookups. Precision and behavioral correctness are non-negotiable.

At L5, you are not just a skilled implementer. You own the conversion strategy, define the phasing and testing approach, surface architectural risks to the L6 lead, and raise the Rust competency of the broader proxy team.

What You'll Do

• Own the C++ to Rust conversion strategy: define the porting sequence, identify behavioral risks, and establish the testing approach that gives confidence in parity before cutover.
• Read, debug, and deeply understand existing C++ proxy business logic, then port it to production Rust with full behavioral parity.
• Build and maintain forward proxy operations: HTTPS CONNECT tunneling, TLS interception, HTTP/1.1 and HTTP/2, header manipulation, connection pooling.
• Implement JavaScript content script injection into HTML responses (ACP-48 shim pattern) — enabling proxy-side injection for customers not served by the Chrome extension.
• Integrate Redis-based real-time policy lookups; handle Redis failure modes gracefully; document degraded-mode behavior and validate it under load.
• Profile and benchmark proxy performance under high-concurrency load; use flame graphs to validate changes; maintain a written performance baseline document.
• Identify gaps in the existing C++ codebase where behavior is unclear or likely incorrect — treating the port as an opportunity to improve, not just replicate.
• Mentor junior Rust engineers on ownership models, async patterns, and systems-level debugging.
• Collaborate closely with the Proxy Hardening engineer on shared infrastructure and production issues.

Skills & Requirements

Who You Are

• You are the engineer who reads crash dumps for fun. Memory safety, ownership models, and undefined behavior are topics you have strong opinions about.
• You have ported or rewritten production systems before and understand that behavioral parity is significantly harder than it appears.
• You can navigate a large legacy C++ codebase without documentation. You treat it as archaeology, not an obstacle.
• You take correctness seriously — you do not ship a port until you are confident it behaves identically to what it replaced, and you have the test coverage to prove it.
• You define the plan, not just execute it. You produce written conversion strategies, risk registers, and performance baseline documents.
• You make other engineers better. You are sought out for Rust code reviews and junior engineers ship better code after working with 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

The Senior Software Engineer (Rust) - Proxy Infrastructure will own production hardening, performance validation, and infrastructure operations for Securly's Rust web filtering proxy — establishing the reliability and scalability baseline that millions of students depend on, and owning the on-premise Docker proxy appliance for school network environments.

Your mission is to ensure the proxy performs, scales, and deploys reliably in production. You will own canary rollout configuration, CloudFormation-based scaling infrastructure, load testing strategy, and performance baseline definition. You will also own the on-premise Docker appliance — a lightweight Rust proxy deployed in school network environments that intercepts TCP traffic and prepends identity headers.

At L5, this is not purely an infra-execution role. You are expected to identify systemic reliability risks in the proxy stack and propose architectural mitigations, not just react to incidents. You define what 'production-ready' means and enforce that bar.

What You'll Do

• Define what 'production-ready' means for the Rust proxy: establish written performance baselines, reliability criteria, and the specific metrics that trigger a rollback vs. a hotfix.
• Design and execute load tests to identify performance bottlenecks; profile memory and CPU under peak and sustained load; produce baseline documents the team references across deployments.
• Own canary rollout configuration and CloudFormation-based ASG scaling policies — modify templates, configure health checks, tune scaling behavior; document every configuration decision with rationale.
• Identify and propose mitigations for known proxy infrastructure risk areas including Redis behavior under peak throughput, CORS/proxy transparency edge cases, and connection pool exhaustion.
• Maintain and harden the on-premise Docker proxy appliance — image builds, container networking, minimal image design, and distribution to school network environments.
• Investigate and resolve production performance issues under peak load; produce written post-mortems that close the loop on root cause.
• Build monitoring, dashboards, and alerting for proxy infrastructure (CloudWatch, Splunk); define SLO targets and ensure alerting is calibrated to them.
• Contribute to C++ to Rust business logic conversion work alongside the Proxy Conversion engineer.
• Support TCP stream handling and socket-level work for the on-premise appliance: bidirectional forwarding, port interception, identity header injection.

Skills & Requirements

Who You Are

• You take performance personally — you do not accept 'probably fast enough.' You profile, you measure, you prove it — and then you write it down.
• You have owned production infrastructure and understand that canary rollouts, health checks, and scaling policies are not afterthoughts — they are the job.
• You are comfortable in the systems layer: TCP streams, socket programming, and container networking are familiar territory.
• You identify systemic risks before they become incidents. You advocate for reliability improvements over tactical fixes.
• You produce written artifacts — post-mortems, baseline documents, SLO definitions — that outlast any individual incident or sprint.
• You operate well in an environment where production stability is a shared responsibility and on-call is part of the role.

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

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

About the Role

As an Site Reliability Engineer II, you will join our growing global SRE team supporting the Veeam Data Cloud. This is an early-career opportunity ideal for someone with a strong technical foundation who is eager to grow their experience in cloud infrastructure, observability, and modern reliability practices.

You will work closely with senior engineers, learning how to support production systems, automate operations, and improve service availability. With mentorship and hands-on project work, you will gain exposure to the full SRE lifecycle, from incident response to systems design.

What You’ll Do

Foundations of Reliability Engineering

• Assist in implementing and maintaining observability tooling including metrics, logs, and traces.

• Contribute to monitoring, alerting, and on-call documentation.

• Support development and maintenance of deployment and CI/CD pipelines.

Learning Through Experience

• Shadow senior engineers during incident response and participate in post-incident reviews.

• Work on scoped automation tasks to reduce toil and improve team efficiency.

• Document processes and contribute to internal runbooks and playbooks.

• Respond to customer support escalations

Team Collaboration

• Engage in technical discussions and design reviews to learn and contribute.

• Participate in sprint planning and retrospectives.

• Ask questions, seek feedback, and embrace a continuous learning mindset.

What You’ll Bring

• 3+ years of professional experience in software or systems engineering.

• Demonstrated interest in infrastructure, automation, or cloud systems.

• Familiarity with at least one programming language (e.g., Python, Go, JavaScript).

• Foundational knowledge of Linux, networking, and cloud fundamentals.

• Strong desire to learn and collaborate in a fast-paced engineering environment.

Bonus Skills

• Exposure to public cloud services (e.g., Azure, AWS, GCP).

• Academic projects or internships involving monitoring, automation, or distributed systems.

What You’ll Get 

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

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

#LI-PS1

Get To Know Our Team:

The People Team is a purveyor of opportunity, searching the globe for the most talented individuals and offering them an open, collaborative workplace. By prioritizing skill and potential, we have cultivated a powerful assembly of professionals through our drive for equal opportunity and diversity. We make the move to Agoda a breeze with assisted onboarding programs, and we continue to support and enrich our thousands of Agoda employees through individual growth with outstanding learning programs and various means of assistance. Our development of incredible benefits has ensured everyone can stay strong, healthy, and happy during their time at Agoda. Leading ambitious changes and making a positive impact in the lives of our employees, the People Team is a crucial and rewarding part of the Agoda family. 

The Opportunity:

We are looking for an Associate Talent Acquisition Partner who will help us strategically yet grow our world-class team in India and other countries across the globe. You should be passionate about recruiting first-rate talents that will add value to the business. Partnering with senior management, you will be critical to creating a seamless recruiting process to help Agoda scale our business globally.

What You’ll Do:

• Partner with hiring managers to understand their business objectives and hiring needs. Develop the recruitment strategy and ways to build a talent pipeline accordingly.
• Own the full-cycle recruitment process ensuring a seamless, uniform, and positive candidate experience.
• Build your network with high-potential talents to ensure that the business has access to the best talent in the market, working comfortably on a global level.
• Engage in creative talent mapping efforts for the purposes of building our candidate pipeline as well as to provide market intelligence to the business.

Required Qualifications:

• Passion for recruitment and delivering great candidate experience
• 3+ years of end-to-end recruiting experience in a fast-growing product or tech company
• Hands on exp managing high volume hiring targets in stipulated timeframe
• Excellent communication and listening skills
• Ability to influence and partner with senior leadership across the company using a data driven approach
• Experience closing candidates at all levels from early career to mid-senior roles and negotiating complex compensation packages
• Data oriented approach to problem solving and ability to work with different tools such as LinkedIn Recruiter, Job Boards, Greenhouse, MS Office Suite
• Excellent presentation and project management skills, with proven ability to take initiative and build strong, productive relationships
• Ability to be proactive, identify areas of improvement, and drive process improvement initiatives 

Location Details: Pune, Hybrid

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

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

Join Our Team...

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

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

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

What you'll get to do...

Responsibility for Fleet Management Platform

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

Partner Requirements Management

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

Your experience should include...

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

You might also have...

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

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

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

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

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

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

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

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

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

Location Details: India, Remote

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

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings

Join Our team... 

Join our team at GoDaddy, the largest services platform for entrepreneurs worldwide. We empower over 21 million customers globally by providing essential tools and assistance to help them thrive online

As a Senior Network Engineer, you will be a key member of our Network Operations Team, working alongside world-class engineers to operate and evolve GoDaddy’s global network infrastructure. This role is ideal for a self-motivated professional who thrives in a fast-paced environment, enjoys solving complex problems, and is passionate about driving operational excellence and innovation

What you'll get to do...

• Deploy, configure, and support a multi-vendor network infrastructure in data centers, large enterprise campus environments, and corporate sites globally (routers, switches, firewalls, hardware load-balancers)
• Provide Tier 2/3 troubleshooting support for complex hosting and enterprise network environments, independently analyzing and resolving diverse technical challenges
• Participate in an after-hours on-call rotation, responding to network events, incident investigations, and remediation efforts 
• Collaborate with Network and Security Architects, Software Developers, Server and Platform Engineers, and Data Center Operations to deliver robust network solutions
• Contribute to the development and improvement of processes, procedures, and network design standards to enhance team efficiency and network availability
• Mentor and support junior engineers, sharing knowledge and best practices
• Participate in architectural reviews and provide feedback to ensure operational reliability

Your experience should include...

• 4+ years of experience as a Network Engineer
• Experience with OSPF, BGP, MPLS, and related routing/switching protocols in carrier and hosting environments
• Knowledge of different OS IOS, IOS-XR, and NX-OS; Cisco Catalyst & Nexus switches, Arista data center switches, and Juniper routers/firewalls
• Proficiency with network management/monitoring tools (e.g., SNMP, gNMI, RANCID, ElasticSearch, SelectorAI)
• Experience with scripting or programming languages (Python preferred) and version control systems (e.g., GIT , API integrations, shell commands and directory structure, Familiarity with IDEs like Visual Studio Code or similar

You might also have...

• CCNP or JNCIS certification or equivalent experience preferred
• Networks with senior internal and external personnel in own area of expertise
• Routinely uses version control and scripting to automate tasks and improve team velocity

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

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

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

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

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

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

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

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

The Role

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

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

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

What It Means to Be L5 at Securly

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

About Securly

Benefits

The Role

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

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

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

What It Means to Be L5 at Securly

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

About Securly

Benefits

Overview:

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

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

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

Tech Stack Mandate

What You’ll Do: 

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

Required Technical Qualifications: 

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

Preferred Qualifications: 

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

Competencies:

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

What We Offer: 

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

About Guidepoint: 

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

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

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

#LI-AD2

#LI-HYBRID

Role Responsibilities

• Analyse, track and resolve customer issues in a prompt manner to ensure that the highest level of client satisfaction is achieved
• Analyse data using SQL / spreadsheets, and ad hoc analysis
• Identify alternate solutions when necessary and communicate them to customers
• Maintain a detailed understanding of product architecture, technical components and application functionality
• Assist in creating training materials pertaining to product troubleshooting and usage
• Set up and document troubleshooting procedures for new product features
• Communicate clearly and effectively with customers, fellow support team members and the other internal teams

Preferred Skills & Experience

• 5-6 years customer support experience for software applications
• 3+ years knowledge of and experience with SQL
• Experience with MAP and CRM-Salesforce
• Strong (verbal and written) communication skills with an ability to build relationships
• Experience describing technical concepts to a non-technical audience
• Ability to function and thrive in a team environment with an appreciation of aggressive goals
• Ability to work independently
• Effective prioritizations and multitasking
• Experience working with Google Analytics a plus
• Experience/knowledge of Salesforce integrations a plus
• Experience in a SaaS environment is a plus
• Experience with ticketing systems SFDC and JIRA a plus

About the Role

We are seeking a highly skilled Security Analyst (Level 2) to join our MSSP SOC team. The ideal candidate will have expertise in SIEM (Splunk, QRadar), XDR/EDR solutions, and security analysis with hands-on experience in investigating and responding to security alerts. This role requires proficiency in reviewing and analyzing Level 1 alerts, providing detailed recommendations, and engaging with customers for incident handling. The candidate should also have basic SIEM administration knowledge and Python scripting skills for troubleshooting and playbook development.

Key Responsibilities

• Threat Detection & Response: Analyze and investigate security alerts, events, and incidents generated by SIEM, XDR, and EDR solutions.
• Incident Investigation & Handling: Conduct in-depth security incident investigations, assess impact, and take appropriate actions. 
• Incident Escalation & Communication: Escalate critical incidents to Level 3 analysts or senior security teams while maintaining detailed documentation.
• Content Management: Develop and fine-tune correlation rules, use cases, and alerts in SIEM/XDR platforms to improve detection accuracy.
• Malware Analysis: Perform basic malware analysis and forensic investigation to assess threats.
• Customer Request Handling: Collaborate with customers to address security concerns, provide recommendations, and respond to inquiries.
• SIEM Administration: Assist in the administration and maintenance of SIEM tools like Splunk or QRadar, ensuring smooth operations.
• Automation & Playbooks: Utilize Python scripting for automation, troubleshooting, and playbook development to enhance SOC efficiency.
• Reporting & Documentation: Prepare detailed reports on security incidents, trends, and mitigation strategies. 

Basic Qualifications

• B.E/B. Tech degree in computer science, Information Technology, Masters in Cybersecurity
• 3+ years of experience in a SOC or cybersecurity operations role.
• Strong knowledge of SIEM tools (Splunk, QRadar) and XDR/EDR solutions.
• Hands-on experience in threat detection, security monitoring, and incident response.
• Knowledge of network security, intrusion detection, malware analysis, and forensics.
• Basic experience in SIEM administration (log ingestion, rule creation, dashboard management).
• Proficiency in Python scripting for automation and playbook development.
• Good understanding of MITRE ATT&CK framework, security frameworks (NIST, ISO 27001), and threat intelligence.
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a 24x7 SOC environment (if applicable)

Preferred Qualifications

• Certified SOC Analyst (CSA)
• Certified Incident Handler (GCIH, ECIH)
• Splunk Certified Admin / QRadar Certified Analyst
• CompTIA Security+ / CEH / CISSP (preferred but not mandatory

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

About the Role

We are seeking an experienced Engineering Infrastructure Security Manager to lead the security of our production and non-production engineering systems. This is a critical leadership role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security, strong leadership capabilities, and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Team Leadership & Collaboration

• Build, mentor, and manage a high-performing team of security engineers
• Drive a “security as code” culture across engineering teams
• Collaborate with platform, SRE, and development teams to embed security into SDLC
• Provide training and guidance on secure infrastructure practices
• Foster a culture of security awareness and proactive risk reporting

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC (must-have)
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 8–12 years of experience in infrastructure security or related fields, with 3+ years in a leadership role
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Leadership & Collaboration

• Proven experience building and managing high-performing security teams
• Experience driving cross-functional initiatives across engineering, operations, and product teams
• Strong project management and execution skills
• Ability to mentor and grow security talent

Communication & Strategic Thinking

• Strong communication skills with ability to explain complex concepts to technical and non-technical stakeholders
• Experience presenting security strategies and risk insights to leadership
• Ability to translate business needs into security solutions
• Strong documentation and process definition skills

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

About the Role

We are seeking an experienced Infrastructure Security Engineer to work on the security of our production and non-production engineering systems. This is a critical  role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC.
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 2–5 years of experience in infrastructure security or related fields.
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

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

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

Overview of Role

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

Partner Enablement Lead

Reports to: VP of Global Revenue Enablement

Key Stakeholder: VP of Partnerships

About Showpad

Showpad is the market-leading Enablement solution that trusted global brands use to unite their revenue teams, deliver superior customer experiences, and drive seller effectiveness. Over 1,400 customers across the globe count on Showpad to help sellers sell the way buyers want to buy, to save sellers time on non-revenue generating tasks, and to ensure organizations invest in developing their most important asset: their people.

Since our inception in 2011, we have taken one thing very seriously: culture. We are passionate, bold, humble, and authentic. We empower each team member to achieve maximum impact and to be their true selves. We take ownership, and we also take vacations. We take serious care of our people, but never take ourselves too seriously.

The Role

We are looking for a Partner Enablement Lead to be the architect and operator of our channel growth strategy. You will sit at the intersection of Enablement and Partnerships, ensuring our global partners are as equipped, confident, and effective as our internal sellers.

Initially, this is a "hands-on-keyboard" operational role focused on building the infrastructure of our partner ecosystem. However, as the channel matures, you will have the opportunity to transition into a highly strategic leader, shaping how Showpad scales through the channel globally.

Core Responsibilities

• Infrastructure & Operations: Stand up and manage a world-class Partner Portal. You will own the content and instance governance strategy for onboarding and continuous development to ensure partners hit incremental revenue targets.
• Content Adaptation: Translate Showpad’s internal enablement of high-impact content and learning experiences into a format that resonates with and empowers external partners.
• Gap Analysis & Creation: Use your subject matter expertise to identify where internal content falls short for a partner audience; create new, bespoke learning paths where gaps exist.
• Onboarding Excellence: Partner closely with the VP of Partnerships to ensure every new partner has a seamless, high-value transition into the Showpad ecosystem.
• Product Readiness: Coordinate with Product Marketing and RevOps to ensure partners are fully enabled on all flagship and minor product releases simultaneously with internal teams.
• Regional Synergy: Act as the bridge between Showpad’s regional sellers and new partner motions, facilitating the enablement needed to make co-selling a success.
• Data-Driven Optimization: Use performance data and KPIs to track "sell-through" success. You won't just report data; you’ll use it to identify opportunities to improve processes and selling motions.
• Showpad Platform Proficiency: Become a master of the Showpad tool, as well as our internal content governance strategy. Use this skill set to design and deliver "End User" training programs for partner Individual Contributors (ICs). Your mission is to drive high platform adoption and mastery, turning Showpad's technology into a competitive advantage that scales revenue in our key investment regions.

Qualifications

• The Experience: 3+ years in enablement leadership, GTM strategy, or enablement consulting.
• The Channel Lens: At least 1 year specifically in a partnership or partner enablement role. You understand the unique nuances of indirect selling.
• Enablement Software Knowledge: A minimum of 1 year hands on admin experience with an enablement software or LMS
• Scaling Mindset: A proven passion for scaling companies through channel sales motions and a track record of driving enablement results that align directly with Revenue KPIs.
• Solution Selling: Experience in complex solution selling (not just transactional products) and the ability to engage comfortably with executive decision-makers.
• The "Builder" Spirit: You are comfortable with ambiguity. You don’t just follow a playbook; you enjoy designing the scalable solutions that become the playbook.
• Communication: Exceptional communication skills with the ability to influence cross-functional stakeholders across Enablement, Marketing, and Sales.

Why we will be a good fit for you

• Be  a part of a performance driven and innovative team that is designing the future of Revenue Enablement 
• Work with a wide range of internal stakeholders as well as a diverse group of clients across different regions and sectors
• Build content and provide solutions that will have lasting impact on our customers enablement functions trajectory 
• Be a part of an organization that customers love, as evidenced by our consistently high customer NPS and CSAT scores
• Comprehensive benefits, competitive salary and opportunities for growth and development

Why Join Showpad?

At Showpad, you’ll be using the very platform you are enabling. You’ll have the unique opportunity to showcase the "power of Showpad" to our partners, using our own industry-leading technology to build the best partner experience in the SaaS world.

Showpad’s Commitment

We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We’re building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether that’s paid parental leave, paid holidays (including Juneteenth and paid time off to vote), paid time off to volunteer at non-profit organizations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you.

ACCOUNTANT

(Pune)

COMPANY OVERVIEW

At Ivalua we are a global community of exceptional professionals, who believe that digital transformation revolutionizes 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: 

Our Finance department, international in scope (EMEA, AMER, APAC) and in full growth, is made up of around thirty experts. The person will be reporting to the Director, Accounting based in Pune.

ROLE:

We are looking for a detail-oriented and technically proficient Accountant to join our Finance & Accounting team. The ideal candidate will have 3 to 5 years of hands-on experience in Travel & Expense (T&E) processing, end-to-end Accounts Payable invoice management, payroll accounting, and day-to-day accounting operations. In addition, the role requires a strong command of data analysis in accounting contexts and advanced Excel skills, including macro development, to drive process efficiency and reporting accuracy.

WHAT YOU WILL DO WITH US

Travel & Expense (T&E) Processing

• Review, verify, and process employee T&E expense claims in accordance with company policy.
•  Ensure timely reimbursements and accurate recording of expense entries in the accounting system.
• Audit submitted expense reports for compliance, proper documentation, and approvals.
• Liaise with employees and managers to resolve discrepancies or policy violations.

Accounts Payable (AP)

• Manage the complete AP lifecycle from invoice receipt, coding, and PO matching to approval workflow and payment execution.
•  Perform 2-way and 3-way PO matching and resolve invoice discrepancies with vendors and procurement teams.
• Maintain vendor master data, ensure accuracy of payment terms, and process payments via bank transfers and cheques.
• Reconcile AP sub-ledger with the general ledger and resolve open items on a monthly basis.
• Prepare aging reports and support month-end AP close activities.

Day-to-Day Accounting Operations

• Prepare and post journal entries for accruals, prepayments, and other routine accounting transactions.
• Perform bank reconciliations, ledger scrutiny, and balance sheet account reconciliations.
• Support monthly, quarterly, and annual close processes within set deadlines.
• Assist in the preparation of MIS reports, trial balance, and audit schedules.
• Ensure compliance with applicable accounting standards (IND AS / GAAP) and internal controls.
• Assist in the preparation, verification, and processing of monthly payroll for all employees.
• Ensure accurate input of attendance, leave, overtime, deductions, and statutory contributions
• Payroll Accounting journal Entry.

Data Analysis & Reporting

• Analyze financial data to identify trends, anomalies, and cost-saving opportunities.
• Design and maintain Excel-based dashboards, automated reports, and financial models.
• Develop and maintain Excel Macros (VBA) to automate repetitive accounting workflows and enhance productivity.
• Support senior management with ad hoc financial analysis and data-driven insights.

YOUR PROFILE

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

Skills and Experience:

• Minimum 3 years of relevant experience in accounting and finance operations.
• Proven hands-on experience in T&E expense processing, AP invoice processing (end-to-end), payroll processing, and general accounting.
• Demonstrated experience with Excel Macros / VBA automation in an accounting environment.
• Prior exposure to ERP systems such as SAP, Oracle, Tally Prime, or Microsoft Dynamics is preferred.
• B. Com / M. Com or a closely related field or foreign equivalent. 

Soft Skills:

• Strong analytical and problem-solving ability
• High attention to detail and accuracy
• Effective communication and interpersonal skills
• Team player with a proactive work approach
• Strong ethical standards and confidentiality
• Adaptability and continuous learning mindset

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

About the Role

As a Production Engineer, you will play a key role in supporting reliable, scalable systems for Veeam's Data Cloud platform. You will own production efficiency, automation and documentation projects, contribute to reliability and observability improvements, and own or participate in the full incident lifecycle — from on-call response, through mitigation, to leading post-incident reviews and driving improvements across support and development teams.

You will work as part of a team of skilled engineers, collaborating with support and development as a bridge and driving force for change. You will communicate with product managers and security professionals to ensure our services are production-ready, performant, and fault-tolerant, and that we rapidly incorporate user feedback into improvements

What You Will Do

Production

• Own complex and escalated production issues from support, and drive long-term fixes in collaboration with engineering, including code, configuration, and architecture changes.

• Proactively identify and address risks that are identified during the problem solving process

• Lead production efficiency initiatives, develop and maintain processes, run-books and knowledge base integrity

Operational Excellence

• Define, build and maintain production monitoring systems

• Continuously improve alerting to minimize noise and ensure actionable, well-documented runbooks.

• Define and maintain SLIs/SLOs for key services, and use error budgets to guide operational and product decisions.

• Turn manual processes into automation

• Own and drive post-mortem review process and actions arising from incident analysis.

Team Collaboration

• Collaborate with support organization as an escalation point and feed back knowledge & improvement recommendations.

• Collaborate with developers throughout the lifecycle of changes, from design through rollout and patch delivery, ensuring safe deployments and efficient incident mitigation.

• Participate in design reviews to ensure services are operable with minimal manual intervention in production (automation, safe deployments, clear runbooks), and share learnings through documentation and feedback.

What We Are Looking For

• 5+ years of experience in software engineering, site reliability, production engineering, or senior technical support roles operating distributed systems.

• Experience with log analysis and advanced troubleshooting

• Basic programming experience (e.g., JS, Go, Typescript, Java, or C#).

• Experience deploying and troubleshooting systems on a public cloud platforms (Azure preferred).

• Familiarity with observability tooling (e.g., Elastic, Prometheus, Grafana, Open Telemetry).

• Understanding of distributed systems, networking, automation and CI/CD.

Preferred

• Prior on-call or incident response experience.

• Background in automation, performance testing, or service scalability.

• Familiarity with compliance or security best practices.

Why Join Veeam?

• Make a high-impact contribution to the architecture and reliability of Veeam's first global SaaS product suite.

• Help shape a modern SRE organization from the ground up, influencing best practices, tooling, and culture.

• Collaborate with highly skilled teams across product, cloud engineering, security, and support.

• Access professional development resources including internal mentorship, technical training platforms, and volunteer days.

• Enjoy competitive compensation and benefits tailored to local markets in the US, Czechia, India, and Australia.

Join us and help define the future of cloud-native data protection.

Location - Pune, Aundh (Hybrid)

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-VG1

About the Role

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

What You'll Do

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

What You'll Bring

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

Bonus Skills

• Experience in the data protection industry

What You'll Get

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

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

About the Role

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

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

What You’ll Do

• Technical Strategy & Architecture

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

  Engineering Execution & Excellence

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

  Organizational Leadership & Influence

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

  Mentorship & Talent Development

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

  Operational Ownership

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

What You’ll Bring

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

Bonus Skills

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

What You’ll Get

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

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

#LI-KP1

About the Role

We are looking for a Staff Site Reliability Engineer, you will serve as a hands-on technical leader within the SRE team, guiding senior engineers, influencing product development teams, and ensuring the systems we operate are built to be reliable, scalable, and observable from the ground up.

You will drive strategic initiatives, mentor others in the practice of SRE, and help define architectural best practices across our platform. This role is pivotal in aligning teams, enforcing high standards, and scaling SRE principles globally within Veeam.

What You’ll Do

Reliability Engineering & Resilience:

• Act as a technical authority in your area, mentoring senior engineers and guiding design choices that improve service reliability and resilience
• Lead the definition and enforcement of SLIs, SLOs, and error budgets; drive adherence across engineering teams
• Collaborate with Staff peers across teams to align strategy and champion shared reliability standards and goals
• Partner with development and product teams to proactively design for failure, build resilient architecture, and operationalize reliability from the start

Observability & Operational Excellence:

• Drive company-wide adoption of observability best practices and tooling
• Ensure metrics, logs, and traces provide deep, actionable insights across systems
• Lead complex incident responses, postmortems, and systemic reliability improvements
• Promote and enforce a blameless culture of learning and continuous improvement

Engineering at Scale:

• Lead initiatives in infrastructure as code, deployment automation, and resilience testing
• Influence the development and adoption of chaos engineering practices and release validation frameworks
• Partner with platform and security teams to ensure production readiness

Collaboration & Culture:

• Work closely with your peer Staff Engineers to plan, align, and deliver against reliability goals
• Provide architectural guidance and advocate for engineering rigor and consistency
• Represent the SRE team in technical leadership forums and product planning discussions

What You’ll Bring

• 8+ years of experience in a Software Engineering or SRE role, including technical leadership
• Demonstrated experience mentoring and guiding senior engineers
• Deep expertise in building distributed systems on public cloud (Azure preferred)
• Strong skills in programming (e.g., JS, Go, Typescript, Java, or C#)
• Hands-on experience with observability tooling (e.g., Prometheus, Grafana, OpenTelemetry)
• Mastery of infrastructure automation tools (Terraform, Pulumi) and container orchestration (Kubernetes)
• Ability to communicate clearly across geographies and disciplines

Bonus Skills

• Experience leading SRE initiatives across multiple product teams
• Background in chaos engineering, incident learning, or performance and load testing
• Familiarity with global compliance standards (ISO, SOC 2, GDPR, FedRAMP, CMMC)

What You’ll Get 

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

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

#LI-IU

The role

Reporting to the Regional Sales Director, you will be responsible for driving Telnyx’s expansion supporting the Indian market. This is an exciting opportunity to join a rapidly growing team and play a key role in our expansion into a new territory. Supported by our marketing and BDR teams, you will focus on identifying new high value customers for Telnyx and building long term, strategic business relationships that will lead to increased revenue growth and client satisfaction.

This role would suit an experienced sales professional, capable of operating in a fast paced startup environment. The ability to operate independently and work effectively in a remote environment is crucial.. 

Responsibilities

• Work with the Director of Sales to develop a sales strategy across the GCC region as you will own the region and have responsibility for delivering the revenue targets.
• Develop a strong pipeline of deals with a combination of outbound sales prospecting and inbound leads.
• Establish a trusted/strategic advisor relationship with each key customer and drive the continued value of Telnyx’s products and services.
• Arranging and conducting Telnyx portal demos for prospects with the support of our Sales Engineering team.
• Work with customers to establish critical goals and other key performance indicators and aid the customer in achieving those business goals.
• Collaborating with marketing, product management and sales peers to optimize client value and Telnyx success.
• Provide accurate reporting and forecasting based on results at each stage.

What we are looking for

• 3+ years of selling experience in enterprise consumption-based software platforms to the Indian market.
• Hunter mentality and experience working on outbound strategies (via telephone, email, social selling, etc).
• SaaS, or telecommunications industry experience.
• Proficiency in English both verbal and written fluency 
• Proven track record of consistently exceeding quota.
• Impeccable written and verbal communication skills. You are a strong listener and communicator.
• Ability to identify and sell to C-Level targets, as well as across Product Development and IT contacts
• Adaptive and introspective; willing to learn, teach, lead and follow.

Bonus points for

• Telco, CPaaS, AI, UCaaS, CCaaS or SaaS new business sales experience
• Established relationships with customers that trust and respect your advice
• Proven consultative sales solution skills, including the ability to articulate a clear, concise, return on investment value statement
• Experience with established sales methodologies such as Challenger, SPIN, MEDDPICC, etc

#LI-RH1

About the team: 

The Customer Operations team is at the heart of Forma.ai's mission in optimizing incentive compensation plans for all companies. They work directly with our customers in helping them understand and take advantage of all the sales compensation features Forma.ai offers. From streamlining administration and management of sales commission to designing your sales compensation plan, our Customer Operations team ensures customers get the most value from our platform in optimizing every dollar spent on sales compensation. 

What you'll be doing: 

Reporting to the Senior Manager of Customer Operations, the Incentive Analytics Manager will contribute in the following areas:  

• Develop a strong understanding of the Forma.ai product and platform to establish yourself as a product expert
• Lead the ongoing operations for a portfolio of customers (i.e., commissions rule building, process execution, reporting and dashboarding, and overall product support)  
• Implement new Forma.ai platform features within your customer portfolio to support continuous improvement and automation
• Identify potential opportunities for process improvement in client processes (e.g., process execution, data validation, dashboard updates). Explore new techniques, working models to improve design and improve processes
• Lead design projects, including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings
• Guide and coach your team of Analysts/Associates to be high performing and client-focused
• Act as the main point of contact for senior customer stakeholders, establishing yourself as a trusted partner for your customers
• Be the main point of contact for Product team to articulate customer feedback and support the development of new product features 
• Collaborate with the Engineering team to implement new platform features within your customer portfolio to support continuous improvement and automation

What we're looking for: 

• 4+ years of progressive experience in management consulting, finance, sales operations, tech implementation, or similar quantitative focused role 
• 2+ years of experience leading project teams 
• Strong experience in leading the planning and execution of projects with multiple deliverables and stages
• Strong analytical problem-solving, organizational and project management skills
• Excellent communication skills, able to lead technical discussions with a non-technical audience
• Exceptional understanding of common analytical and presentation tools (Excel, PowerPoint) 

Nice to haves: 

• Experience with SQL and/or Python
• Have a sales incentive compensation background

What you can expect from us: 

• Meaningful compensation. In addition to your base salary, you’ll join our employee stock ownership plan to further recognize your contributions to Forma.ai’s success 
• Healthcare coverage. We have a full benefits package that includes medical, dental, vision, disability and life insurance, and a paid parental leave program 
• Learning and development. Access the resources you want to help you grow in your role by utilizing our $750 yearly training stipend 
• Growth. You’ll have a huge opportunity to build a career for yourself and gain the type of experience you’re looking for – whether that’s as an individual contributor or as a people leader

About the team: 

The Customer Operations team is at the heart of Forma.ai's mission. This team has a direct impact on the growth of Forma.ai. They are results-driven and solutions-minded. 

The Customer Operations team works closely with our customers, helping them to understand and take advantage of all the features Forma.ai offers and ensuring that they get the most value from the platform.  

What you'll be doing:  

Reporting & Dashboarding

• Design, maintain, and enhance dashboards in BI tools (e.g., Looker Studio, Salesforce/HubSpot reports) to monitor marketing campaign performance, sales pipeline health, lead flow, and conversion metrics 
• Automate recurring reports and implement self-serve analytics capabilities for GTM teams 

Data Analysis & Insights 

• Analyze funnel performance from top-of-funnel marketing campaigns to bottom-of-funnel sales outcomes
• Provide regular insights into key KPIs like campaign ROI, customer acquisition cost (CAC), and attribution across channels
• Support A/B testing initiatives, sales activity analysis, and segmentation strategies 

Scripting & Automation 

• Write Python and SQL scripts to extract, clean, and structure data from external sources (e.g., job boards, press releases, M&A feeds, web scraping APIs)
• Build automated enrichment pipelines to augment CRM and marketing data with third-party insights (e.g., firmographics, hiring activity, technology stack, funding events) 

Data Quality & Tooling 

• Take ownership of data cleanliness and integrity across GTM systems (e.g., Salesforce, HubSpot, Databricks), including investigating issues, proposing solutions, and manually resolving historical data problems when necessary
• Maintain and improve key GTM logic — including lead scoring models, lifecycle stage transitions, attribution frameworks, and related automation rules — ensuring they are well-defined, consistent, and actionable 

What we're looking for:  

• Background in Engineering, Commerce, Mathematics and/or Statistics
• Natural curiosity about AI and emerging technologies — especially where they intersect with automation, data, and workflow orchestration across the GTM stack
• Familiarity with B2B go-to-market motions and how to measure their effectiveness
• Experience in report building, data analysis and workflow automation within a GTM tech stack (e.g. Salesforce, HubSpot, Gong, BI tools) 
• Proficiency in SQL or Python and familiarity with at least one BI tool (e.g., Power BI, Looker, Tableau)
• 3-5 years of related experience
• High achiever with a strong sense of ownership
• Ability to take ownership and run tasks in a fast-paced and evolving environment 

About the Team: 

The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program.  

If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you! 

What you’ll be doing: 

•  Work with new and existing customers to implement the company's new platform features as well as manage and optimize client processes
•  Learn the architecture and design of the company's platform to the extent of being able to independently complete updates, enhancements, and change requests
•  Lead onboarding & activities, including requirements gathering for incentive compensation plan rules, data analysis, and quality control
•  Assist the ongoing operations for a portfolio of existing customers and implement new features (i.e. rule building, process execution, reporting and dashboarding, and product support)
•  Scope, build and test automated workflows, processes and reporting capabilities to support automation of incentive compensation processes and improve business visibility
•  Support design projects including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings
•  Interact with key customer stakeholders to coordinate project execution 
•  Hire, guide and coach a team of Analysts, Associates, and Managers to be high performing and client­ focused
•  Act as the main point of contact for senior customer stakeholders
•  Act as a key point of contact to articulate customer feedback and support the development of new product features
•  Act as a key point of contact for the company's to implement new platform features across customers to support continuous product improvement

What we're looking for: 

• Education or Background in Engineering, Commerce, Mathematics and/or Statistics
• +6 years of working experience
• Experience in working with large datasets (SQL) and a strong understanding of logical structures of databases and workflows a plus 
• Strength in Excel to perform data profiling, segmentation, and aggregation  
• Understanding of data architecture and process flows  
• Analytical problem-solving ability, organizational, and project management skills 
• Ability to take ownership and run with tasks in a fast-paced and evolving environment 
• Understanding of common analytical and presentation tools (i.e., Excel, PowerPoint)

Nice to haves: 

• Experience with SQL and/or Python
• Experience with sales incentive compensation

Job Title: CMDB Analyst/ Configuration 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.

Role Description:

Job Title: CMDB Analyst/ ITSM/ ServiceNow

Location: Sarjapur, Bengaluru/ Hinjewadi, Pune

Hybrid Mode - 3 days WFO (Tues, Wed, Thurs) per week

Shift Time: EMEA

Overview: 

Role Description 

Engagement Overview CMDB Analyst to contribute to operational CMDB maintenance, data quality improvement, and configuration support in our development environment. The ideal candidate is comfortable learning systems independently, can write basic scripts for systematic cleanup, and understands CMDB/ITSM concepts without needing extensive supervision Key Focus Areas: Inbox/queue management, duplicate CI resolution, data source configuration and monitoring, relationship management, and proactive data quality initiatives Responsibilities

1. CMDB Inbox & Queue Management

• Monitor and triage CMDB intake queue/mailbox daily
• Respond to standard requests (CI updates, relationship corrections, ownership changes, lifecycle/status updates)
• Categorize and route complex issues; escalate appropriately

1. Data Quality & Duplicate Resolution

• Identify and systematically remove duplicate CIs using scripts and bulk operations
• Write simple scripts (JavaScript/ServiceNow scripting) to automate repetitive cleanup tasks
• Reconcile CI records across integrated sources (discovery, asset management, cloud platforms)
• Flag and resolve data conflicts, missing attributes, and stale records
• Execute bulk updates following documented data standards

1. Data Source Configuration & Management

• Configure and onboard new data sources feeding into the CMDB
• Map and label which data sources should update which CI classes/attributes
• Monitor data feed health (expected CI counts, attribute population, load failures)
• Perform basic troubleshooting of integration issues; open incidents with source owners when needed
• Work in dev environment to test and validate data source configurations before production

1. CI Relationship & Dependency Management

• Create, update, and validate CI relationships and service dependencies
• Collaborate with application/service owners to ensure relationship accuracy
• Identify and document systemic relationship gaps, data quality issues, and process bottlenecks
• Solve straightforward issues independently using basic scripting, bulk updates, or configuration changes
• Escalate complex problems to engineering with clear documentation of the issue, impact, and potential solutions
• Track remediation progress and validate fixes

1. UAT & Testing Support

• Support testing and validation of CMDB changes in lower environments
• Provide feedback to admins and engineers on configuration changes
• Participate in data source validation before production deployment Required Skills & Qualifications Must-Have:
• ServiceNow experience with hands-on CMDB and ticketing module usage
• Ability to write basic scripts for data cleanup and automation (JavaScript, ServiceNow scripting, or similar)
• Self-sufficient learner who can explore systems, understand configurations, and solve problems with minimal guidance
• Strong understanding of CMDB concepts: CI records, attributes, relationships, lifecycle/status, data reconciliation
• Experience with data quality work: identifying duplicates, reconciliation, bulk updates
• Ticket triage and customer communication skills
• Proficiency in Excel (pivot tables, vlookups, data manipulation) Preferred:
• Experience configuring or managing data sources/integrations in ServiceNow (Discovery, Integration Hub, import sets)
• Familiarity with CI reconciliation and normalization (Identification & Reconciliation Engine - IRE)
• ITIL Foundation or ITSM framework knowledge
• Experience writing ServiceNow Business Rules, Transform Maps, or scheduled jobs
• Exposure to API integrations or middleware platforms

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

So, what’s the role all about?

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

How will you make an impact?

Define functional requirements for new EEM product features

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

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

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

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

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

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

Have you got what it takes?

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

2-5 years of experience in IT

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

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

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

Familiarity with cloud-based applications and AWS infrastructure

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

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

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

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

You will have an advantage if you also have:

Experience with contact centers or workforce management practices

Familiarity with scheduling employees

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

Strong mathematical background. Knowledge of both web and mobile applications

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

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

Experience with building AI products and features

What’s in it for you?

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

Enjoy NICE-FLEX!

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

Requisition ID: 10797

Reporting into:  Tech Manager
Role Type: Individual Contributor

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

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

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

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

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

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

Primary Responsibilities

1. Team Leadership & Development

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

1. Project Management & Coordination

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

1. Data Quality & Integrity

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

1. Technical Collaboration & Innovation

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

1. Customer & Domain Engagement

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

Required Skills & Qualifications

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

Preferred Skills & Qualifications

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

About the Role

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

Your day to day

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

What you bring to the team

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

What we would like to see, but not required

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

What you’ll get in return 

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

Work arrangements 

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

About the Role:

We are seeking an experienced Senior Business Applications Security Engineer to join our growing Corporate Technology team. This is not a maintenance role—this is an opportunity to build something from the ground up. You will take ownership of the security posture for our entire business application ecosystem, from Salesforce and Workday to niche departmental tools, transforming a fragmented, reactive approach into a centralized, proactive, and hardened security program. Your focus will be on bridging business needs with cloud-based software solutions through implementation, optimization, and vendor management.

Transform business application security from an afterthought to a core competency. You will:

• Build from scratch: Design and implement a comprehensive business application security program where none exists
• Own the ecosystem: Take full ownership of security posture across 200+ business applications (SaaS, cloud, and on-premise)
• Establish the standard: Define what "secure" means for business applications and ensure every tool meets that bar
• Shift left: Embed security into procurement, integration, and lifecycle management processes
• Drive change: Partner with stakeholders across IT, Engineering, Finance, HR, Sales, and Marketing to fundamentally change how the organization thinks about application security

Responsibilities

• System Administration: Design and scale user access with role-based access controls (RBAC), where possible
• Technical Support & Troubleshooting: Provide escalation support in debugging app access/role issues
• Application Onboarding: Conduct requirements discovery and analysis with key stakeholders for new applications, particularly pertaining to login and role access protocols
• Identity Lifecycle Management: Designing and implementing automations ensuring automatically granted or revoked access
• Integration Management: Manage API connections and integrations between business applications in our tech stack
• Process Improvements: Identify and implement automation opportunities to streamline workflows
• Data & Compliance: Ensure data accuracy, integrity and compliance with security standards
• Mentorship to guide junior teammates on best practices within the role

Qualifications

• 8+ years of experience in Application Security or related role
• Professional Certifications: CISSP are a plus
• Expertise in Okta, Google Workspace, Microsoft 365
• Experience with SAML and OAuth protocols, as well as SCIM
• Proficiency with Okta Workflow or similar automation platforms
• Excellent ability to bridge conversations between technical teams and non-technical business stakeholders
• Soft skills: Change management, process improvement, stakeholder management, collaborative mindset with excellent written and verbal communication.

What We Offer:

• Competitive compensation package
• Equity opportunities
• Comprehensive health, dental, and vision coverage
• Flexible PTO and remote work options
• Learning & development resources
• A high-impact role in a fast-growing, mission-driven company.

About the Role:

We are seeking an experienced Senior Business Applications Security Engineer to join our growing Corporate Technology team. This is not a maintenance role—this is an opportunity to build something from the ground up. You will take ownership of the security posture for our entire business application ecosystem, from Salesforce and Workday to niche departmental tools, transforming a fragmented, reactive approach into a centralized, proactive, and hardened security program. Your focus will be on bridging business needs with cloud-based software solutions through implementation, optimization, and vendor management.

Transform business application security from an afterthought to a core competency. You will:

• Build from scratch: Design and implement a comprehensive business application security program where none exists
• Own the ecosystem: Take full ownership of security posture across 200+ business applications (SaaS, cloud, and on-premise)
• Establish the standard: Define what "secure" means for business applications and ensure every tool meets that bar
• Shift left: Embed security into procurement, integration, and lifecycle management processes
• Drive change: Partner with stakeholders across IT, Engineering, Finance, HR, Sales, and Marketing to fundamentally change how the organization thinks about application security

Responsibilities

• System Administration: Design and scale user access with role-based access controls (RBAC), where possible
• Technical Support & Troubleshooting: Provide escalation support in debugging app access/role issues
• Application Onboarding: Conduct requirements discovery and analysis with key stakeholders for new applications, particularly pertaining to login and role access protocols
• Identity Lifecycle Management: Designing and implementing automations ensuring automatically granted or revoked access
• Integration Management: Manage API connections and integrations between business applications in our tech stack
• Process Improvements: Identify and implement automation opportunities to streamline workflows
• Data & Compliance: Ensure data accuracy, integrity and compliance with security standards
• Mentorship to guide junior teammates on best practices within the role

Qualifications

• 8+ years of experience in Application Security or related role
• Professional Certifications: CISSP are a plus
• Expertise in Okta, Google Workspace, Microsoft 365
• Experience with SAML and OAuth protocols, as well as SCIM
• Proficiency with Okta Workflow or similar automation platforms
• Excellent ability to bridge conversations between technical teams and non-technical business stakeholders
• Soft skills: Change management, process improvement, stakeholder management, collaborative mindset with excellent written and verbal communication.

What We Offer:

• Competitive compensation package
• Equity opportunities
• Comprehensive health, dental, and vision coverage
• Flexible PTO and remote work options
• Learning & development resources
• A high-impact role in a fast-growing, mission-driven company.

Overview

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

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

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

What You'll Achieve

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

Skills You'll Bring

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

The Role

At Addepar, we are looking for an experienced Automation Specialist-Operations to design, develop, and deploy enterprise-grade robotic process automations. The role is ideal for a UiPath expert who can operate independently, deliver high-quality solutions, and collaborate effectively with internal product, engineering and operations teams.

What You’ll Do:-

Process Assessment & Solution Design

• Review business requirements and assess automation feasibility.
• Define and document the automation solution design (PDD / SDD).
• Identify reusable components and develop modular solutions.
• Develop custom activities using UiPath SDK

Development & Testing

• Develop, debug and test workflows using UiPath Studio / Orchestrator.
• Implement robust exception handling, logging, alerting and configuration management.
• Conduct UAT with business stakeholders and incorporate feedback.
  
  

Deployment & Handover

• Package and deploy automations to UiPath Orchestrator (dev, test, prod) in a secure and maintainable manner
• Prepare documentation and handover materials for internal support teams.
• Provide knowledge transfer and brief training sessions as needed.
  
  

Optimization & Support

• Monitor bot performance and handle stabilization post-deployment.
• Recommend and implement performance improvements.

Who You Are:-

Technical Skills required:

• 4+ years of relevant experience in similar area.
• 3+ years hands-on UiPath experience
• UiPath Advanced RPA Developer (UiARD) certification (Preferred)
• Prior experience of developing of automation in finance, data operations, or enterprise automation domains
• Strong proficiency in UiPath - Studio, Orchestrator, Assistant, Unattended Bots and Attended Bots 
• Hands-on with REFramework and custom library development 
• Experience with REST APIs, Excel, email automation, file I/O, integration with cloud services (preferably AWS services), JSON/XML data formats
• Exposure to Document Understanding, AI Center, and attended/unattended bots
• Basic scripting: VB.NET / C#  / Python 
• Source control: DevOps -like CI/CD, GitHub 

LLMs, Claude, BI and Analytics (is preferred)

• Familiarity with web automation scenarios, 

Soft Skills:

• Strong analytical and problem-solving mindset
• Self-driven and able to deliver with minimal supervision
• Able to work with cross-functional teams (Operations, Engineering, Product, QA)
• Clear communicator with good documentation discipline
• Collaborative approach with cross-functional teams

Performance Expectations/Metrics

• Delivery of automation processes per agreed milestones and quality standards
• Code quality and stability (defects or incidents post-deployment)
• Reusability and maintainability of code
• Timely reporting of progress and blockers
  

  Important Note: This role requires working from our Pune office 3 days a week (hybrid work model)

The Role

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

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

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

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

What You’ll Do

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

Technical Fundamentals & Practices -

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

Browser & Rendering Fundamentals : 

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

Asynchronous & Streaming Systems:

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

State & Data Synchronization:

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

UI Architecture & Composition:

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

Performance & Profiling:

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

Design Systems & Accessibility:

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

Resilience, Testing & Observability:

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

Developer Experience & Tooling:

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

Mindset:

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

Who You Are

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

The Role

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

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

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

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

What You’ll Do

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

Who You Are

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