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

WHAT YOU'LL DO:

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

WHAT YOU'LL NEED:

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

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

#LI-TN1

Position Summary:

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

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

Key Responsibilities:

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

Basic Qualifications:

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

Preferred Qualifications:

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

So, what’s the role all about?

As a Specialist Automation Engineer. You will be part of a cross-functional Scrum team that develops and supports specific components of our end product. You will be working hand in hand with the other R&D people. You will be involved in new feature development; provide input to POs and developers on the correct behavior of the system. You own the quality of the product, taking full responsibility for all functional – but also non-functional – aspects, like performance, stability, security, and maintainability. Serve as the quality leader for the group and is accountable for the product quality. Drive the team for continues improvement and innovate with quality assurance practices.

How will you make an impact?

Drive an AI-first quality mindset, leveraging automation and data insights to improve testing, defect detection, and overall product quality

Design and execute AI-assisted test strategies (manual, automation, unit, integration, E2E, exploratory) for web and backend to ensure strong coverage

Own end-to-end quality of modules and releases, ensuring standards, reliability, and customer expectations are met

Identify defects early, proactively diagnose issues, and continuously improve test coverage and risk mitigation

Lead test automation efforts and define QA strategy, deliverables, and ownership across the team

Contribute to Discovery and Epic reviews, partner with stakeholders to identify risks, shape requirements, and ensure environment readiness and stability

Have you got what it takes?

B.E./B.Tech in Computer Science, Industrial, or Electronics Engineering

8–11 years of experience as an Automation QA Engineer

Strong experience in test planning and execution for scalable applications

Hands-on with Playwright (TypeScript/JavaScript); knowledge of Java/JavaScript is a plus

Experience with AI-driven testing approaches and test management tools (TestLink, Xray)

Good understanding of Agile (Scrum/Kanban) methodologies

Experience with API testing (Postman), SQL, and microservices architecture

Familiarity with virtual environments, Windows, and shell operations

Hands-on in functional and non-functional testing with a strong quality mindset

You will have an advantage if you also have:

Experience in web & backend testing

Knowledge of HTTP and cloud (AWS preferred)

Exposure to Telecom/UC systems

Experience in risk-based testing & CI/CD

ISTQB/ISEB/TMap certification is a plus

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: 10799

Reporting into:  Tech Manager
Role Type: Individual Contributor

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

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

So, what’s the role all about?

Our company is seeking a highly skilled Senior Specialist Software Engineer with expertise in writing software with real time constraints to join our software development team. As a Senior Software Engineer, you will be responsible for designing, developing and maintaining software applications that meet business needs and specifications.

How will you make an impact?

• Empower team members to make technical decisions, instil sense of ownership and self-organize.
• Hands-on with coding, practiced in Claude Code, Git Hub copilot, must have latest AI skills such as vibe coding, agentic AI, creating agents.
• Work closely with team members and provide technical guidance where required.
• Provide worldwide support to our customers, handle incident bridges & customer escalations
• Prioritize, assign and manage department activities and projects in accordance with the R&D departments goals and objectives.
• Adjust hours of work, priorities and staff assignments to ensure efficient operation based on workload.
• Play major role in envisioning and execution of next gen plans (e.g. architecture) to achieve longer term strategic objectives of the organization.
• Identify and address roadblocks that hinder team productivity, including organizational obstacles, resource constraints, and dependencies. 
• Collaborate with other departments to remove impediments that require cross-functional support. 
• Actively guide and mentor the team to develop features to meet functional, documentation and quality while obviating roadblocks.
• Review technical designs and architecture to ensure quality, scalability, and maintainability. 
• Monitor code quality and identify areas for improvement through code reviews. 
• Collaborate with technical leads to resolve complex technical challenges and make informed technology decisions
• Drive and impact all current processes related to software development and improvements across the org as necessary.
• Promote knowledge sharing and cross-training among team members to enhance overall team capabilities. 

Have you got what it takes?

• Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute
• 14+ years of experience in Software development.
• Proven track record of managing the development of enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem.
• Experience developing and supporting multi-tenant cloud-native software delivered as-a-Service (SaaS).
• Expert in usage of Claude Code, GitHub Copilot, vibe coding, agentic AI for development, test generation,
• Expert in VoIP, telecom, Media handling & media anchoring with protocols such as SIP, SDP, RTP, RTCP, firewall traversal, NAT and in depth knowledge TCP/IP. Must knowledge working with multi-threaded systems and practiced in designs & patters required for concurrency.
• Have knowledge of Inbound, Outbound and most aspects of CCaaS.
• Good exposure to Service Oriented Architecture and associated design patterns for development, deployment, and maintenance.
• Familiar with DevOps processes and tools employed in SaaS architectures to support CI/CD and monitoring.
• Familiar with Quality targets and SLAs for SaaS applications.
• Experience of product development using C++, C# technologies and frameworks like .Net, Orleans
• Expert with public cloud infrastructures and technologies such as Amazon Web Services (AWS).
• Expert with Kubernetes infrastructure with knowledge of EKS, ECS, pods, kubectl, pod affinity, pod networking, helm charts
• Experience working abroad or with global teams is preferred.
• Demonstrated ability to deftly influence others, especially in sensitive or complex situations.
• Deep experience with agile software development techniques and pitfalls.
• Excellent communication skills, problem-solving and decision-making skills.
  
  

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:  10727
Reporting into: Tech Manager, Engineering, CX
Role Type: Individual Contributor

So, What's the Role All About?

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

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

How Will You Make an Impact?

Architecture & System Design:

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

AI & Conversational Solution Architecture:

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

AWS Cloud & Microservices Architecture:

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

Scalability, Resilience & Disaster Recovery:

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

Security, Compliance & Reliability:

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

Technical Leadership & Collaboration:

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

Have You Got What It Takes?

Experience & Education:

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

Technical Expertise:

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

Architecture & Scale:

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

Good to Have:

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

What's in It for You?

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

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

Requisition ID: 10787

Reporting Into: Director , Engineering

Role Type: Individual Contributor 

The Role

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

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

What It Means to Be L5 at Securly

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

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

About Securly

Benefits

The Role

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

About the Role

We are looking for a Frontend Engineer to help build the Cloud Secure Edge Admin Console, the interface used by IT Administrators and Security teams to manage access policies, monitor devices, configure alerts, and analyze real-time connectivity. As a Frontend Engineer, you will build modern, responsive, high-quality interfaces using TypeScript, React, ag-Grid, Highcharts, Storybook, and our internal component library.

This role is ideal for engineers who enjoy ownership, care deeply about code quality, and thrive in a remote environment where clear communication and proactive problem-solving are essential.

What You’ll Do

• Build new features and enhance existing ones in our Admin Console using TypeScript, React, ag-Grid, Highcharts, and Storybook.
• Write clean, readable, maintainable code that is easy for others to understand and evolve.
• Contribute integration tests, regression tests, and unit tests when appropriate by using tests to both prevent regressions and communicate expected behavior.
• Ensure interfaces are accessible, performant, and aligned with modern web best practices.
• Debug issues collaboratively with backend engineers, QA, Customer Support, and Product as needed to fully understand customer scenarios and edge cases.
• Participate in code reviews that focus on clarity, correctness, maintainability, and shared standards.
• Work in a fast-moving, fully remote team where initiative, communication, and accountability are essential.

What You’ll Bring

• A Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
• 3+ years of experience building production web applications.
• Strong proficiency with JavaScript/TypeScript, React, HTML, CSS/SaaS, and common modern web development patterns.
• Experience with data-heavy or highly interactive enterprise applications, including complex grids or visualizations (ag-Grid, Highcharts, etc.).
• Experience writing automated tests and contributing to a healthy testing culture.
• Ability to read and interpret Figma designs and translate them into high-quality UI components.
• A strong sense of ownership and a proactive communication style: comfortable asking questions, raising concerns, and driving tasks to completion with limited oversight.
• Commitment to building accessible, performant, and bug-free interfaces.

#LI-KB7

#LI-Hybrid

#typescript

#react

We are seeking a seasoned Platform / Site Reliability Engineer to lead the evolution and performance of our Kubernetes-based production environment. In this role, you will drive reliability, scalability, and observability across mission-critical systems while working hands-on with Kubernetes, GCP, Terraform, and modern infrastructure automation. You will partner closely with Engineering and Support teams to optimize system performance, influence architectural decisions, and build resilient platforms that enable business growth at scale.

Responsibilities:

• Maintain, scale, and enhance our Kubernetes production platform
• Improve the performance, reliability, and availability of production systems
• Ensure comprehensive observability across services, infrastructure, and applications (metrics, logs, traces, alerts)
• Diagnose and tune database and service performance across distributed systems
• Partner with Development teams to assess platform impact of new features and architectural changes
• Identify architecture bottlenecks and contribute to scalable, resilient technical solutions
• Collaborate with Support teams to build and maintain operational runbooks and improve incident response processes

Requirements:

• 5+ years of hands-on Kubernetes experience in production environments
• Strong expertise with Linux systems administration and troubleshooting
• GCP cloud experience required; multi-cloud exposure is a plus
• Proficiency with Terraform and infrastructure-as-code workflows
• Strong understanding of container lifecycle management and deployments
• Programming experience in Go, Python, or a comparable language
• Experience with database performance optimization and tuning
• Solid knowledge of networking fundamentals and network-level troubleshooting

Education and Experience:

• At least 10+ years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience preferred
•  Degree in Computer Science, Engineering, or related field preferred
  
  

#LI-KB7

#LI-Hybrid

#GCP

#Python

We’re looking for a highly skilled Platform Engineer to help scale and strengthen our Kubernetes-based production environment. In this role, you’ll take ownership of platform reliability, performance, and observability while working hands-on across Kubernetes, GCP, Terraform, and modern infrastructure automation. You’ll collaborate closely with Engineering and Product teams to influence architecture decisions, solve complex performance challenges, and design resilient, scalable systems that support our growing platform. This is a high-impact role for someone who thrives in technical problem-solving, cares deeply about operational excellence, and enjoys building platforms that engineers love to use.

Responsibilities:
● Maintain and extend our Kubernetes platform
● Improve Performance & Reliability of our production platform
● Ensure proper observability of the production systems
● Assist with database and service performance tuning
● Collaborate with Development Engineers on impacts of new features
● Identify architecture bottlenecks and work with Engineering on new solutions
● Collaborate with Support on operational runbooks

Requirements:
● Minimum 3+ years Kubernetes
● Operating System: Linux 
● GCP Cloud experience is mandatory, good to have multi-cloud experience.
● Terraform 
● Container lifecycle
● Programming Go, Python or similar
● Database optimization
● Network level troubleshooting

Education and Experience:
• At least 6 - 8 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with 1 year experience; or equivalent experience preferred. 
• Degree in Computer Science, Engineering, or related field preferred

#LI-KB7

#LI-Hybrid 

#kubernetes

#GCP

About the Role

We are looking for a Senior Frontend Engineer to help lead the technical direction of the Cloud Secure Edge Admin Console, the interface used by IT Administrators and Security teams to manage access policies, monitor devices, configure alerts, and analyze real-time connectivity.

As a Senior Frontend Engineer, you will shape frontend architecture, elevate code quality, mentor other engineers, and collaborate with Product, Design, and Backend teams to deliver intuitive, performant, and reliable enterprise experiences. You’ll work with modern web technologies, including TypeScript, React, ag-Grid, Highcharts, Storybook, and our internal component library.

This role is ideal for engineers who enjoy solving complex product and architectural problems, driving clarity in ambiguous situations, and raising the engineering bar across a distributed team.

What You’ll Do

• Lead the design and implementation of complex frontend features, owning them from conception to delivery.
• Define and evolve architectural patterns, component abstractions, and best practices for performance, accessibility, testing, and maintainability.
• Work closely with Product and Design to evaluate requirements, break down features, identify edge cases, and provide clarity on technical feasibility and trade-offs.
• Mentor and support other Frontend Engineers through design reviews, pair programming, and coaching.
• Build and maintain high-performance interfaces using TypeScript, React, ag-Grid, Highcharts, and Storybook.
• Ensure robust testing coverage across integration, regression, and unit tests—using tests to document expected behavior and prevent regressions.
• Investigate and resolve complex issues that require coordination with Backend, QA, Customer Support, and Product teams.
• Drive improvements to developer experience, build tooling, component library consistency, and frontend operational excellence.

What You’ll Bring

• A bachelor’s degree in computer science, Engineering, or a related field, or equivalent professional experience.
• 7+ years of experience building production web applications.
• Strong proficiency with JavaScript/TypeScript, React, HTML, CSS/SaaS, and common modern web development patterns.
• Experience with data-heavy or highly interactive enterprise applications, including complex grids or visualizations (ag-Grid, Highcharts, etc.).
• Experience writing automated tests and contributing to a healthy testing culture.
• Proven ability to break down ambiguous problems, design scalable solutions, and drive projects with minimal oversight.
• Excellent communication skills: able to articulate trade-offs, give constructive feedback, and collaborate effectively across engineering, design, product, QA, and support.
• Demonstrated impact improving code quality, reducing complexity, or evolving architecture in prior roles.
• A mindset focused on maintainability, clarity, and long-term sustainability: not just shipping features fast.

#LI-KB7

#LI-Hybrid

#React

#Javascript

About the role

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

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

Your day to day

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

What you bring to the team

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

What we would like to see but not required:

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

What you’ll get in return :

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

Work arrangements :

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

Must-Have Skills

• Backend: Golang (mandatory) / Java, REST APIs, Microservices, Event-driven architecture
• Frontend: React.js (mandatory), Material UI
• Databases: PostgreSQL / RDBMS, Caching (Redis / Memcached)
• Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD
• Messaging: Kafka or similar
• Strong system design, performance optimization, and debugging skills

 General Summary:

The Senior Software Engineer I is responsible for developing high-quality, innovative, fully performing software in compliance with coding standards. This individual works in partnership with cross-functional teams to ensure that software deliverables, including designs, codes, and tests, are completed in a timely manner, while remaining aligned with industry and organizational standards.

Essential Duties & Responsibilities:

• Provides support to the Engineering teams, with a high attention to detail
• Research, analyzes, and documents findings
• May influence others within the Software Engineering team through the explanation of facts, policies, and practices
• Designs, builds, and maintains large-scale production services, web applications, data pipelines, and streaming systems
• Works on systems critical to the company’s current and future operations
• Debug production issues across services and multiple levels of the stack
• Assists with the improvement of organizational engineering standards, tooling, and processes
• Participates in the testing process through test review and analysis, test witnessing, and certification of software
• Evaluates codes to ensure validity, proper structure, alignment with industry standards, and compatibility with operating systems
• Maintains an understanding of current technologies or programming practices through continuing education, reading or participation in professional conferences, workshops, and/or groups

Knowledge, Skills, and/or Abilities Required:

• Ability to work independently on projects and processes with general supervision
• Practical knowledge of the applicable work area
• Ability to situationally adapt and understand new technology/processes as per business requirements
• Knowledge of a variety of the field's concepts, practices, and procedures
• Ability to work constructively and independently under stress and pressure in a fast-paced, multi-tasking environment
• Ability to interact positively and openly with colleagues and external business contacts, with strong verbal and written communication skills
• Knowledge of programming languages and software basics
• Knowledge of relevant software development tools, including version control, build processes, debuggers, and test frameworks

 Educational/Vocational/Previous Experience Recommendations:

• Bachelor’s degree in a related field or equivalent business experience
• 5+ years of relevant experience

Working Conditions:

• On-site / Hybrid, depending on location

Job Title: ORMB ITSO

 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.

Job Description:

ORMB ITSO(5-8 Years)

Location: Pune

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

About Us

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

WHY JOIN CAPCO?

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

MAKE AN IMPACT

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

#BEYOURSELFATWORK

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

CAREER ADVANCEMENT

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

DIVERSITY & INCLUSION

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

MAKE AN IMPACT

Role: GCP Data Engineer 

Job Summary:

We are looking for an enthusiastic GCP Data Engineer to join our dynamic and growing project team. In this role, you will have the opportunity to develop your skills while contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable insights. This is an excellent opportunity for a foundational career in data engineering within a supportive and collaborative environment.

Key Responsibilities:

· Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services.

· Write and optimize complex SQL queries in BigQuery for data transformation, extraction, and analysis.

· Assist in the design and implementation of data models within our data warehouse.

· Collaborate with the broader project team to understand data requirements and deliver effective solutions.

· Troubleshoot and resolve issues in data pipelines and data quality to ensure accuracy and availability.

· Contribute to documentation and adhere to data engineering best practices.

· Support the team in various data-related tasks and be eager to learn new technologies and techniques.

Required Qualifications:

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

· 5-8 years of hands-on experience with strong programming skills in Python for data manipulation and processing.

· Proficiency in SQL for querying and data transformation.

· Hands-on experience or significant project work with Google Cloud Platform (GCP).

· Familiarity with core GCP data services, particularly BigQuery and Pub/Sub.

· Strong understanding of data warehousing concepts and ETL/ELT processes.

· A proactive and curious mindset with strong problem-solving skills.

· Excellent communication and teamwork skills, with the ability to work effectively in a large project team.

Preferred Qualifications:

· Experience with other GCP services such as Cloud Composer (Airflow) or Dataflow, Cloud Functions.

· Familiarity with version control systems, especially Git.

· Google Cloud certification (e.g., Associate Cloud Engineer) is a plus.

· A passion for data and a strong desire to grow a career in the data engineering field.

About the Team :

As an Engineering Manager for the CPD Pune team, you will lead multiple teams of Software Engineers (SEs) to provide long-term stability and last-mile delight to our customers.

Rubrik EM's are first and foremost accomplished engineers and passionate leaders who are obsessed with building strong teams. As we drive forward for the success of our customers, you will hold the team accountable to improve the product quality and maintain stability while delivering on the Product roadmap. You will champion the Customer and establish a culture of customer centricity. You will partner with various stakeholders, including but not limited to Product, Support org, and other engineering teams, to continuously raise the bar for Rubrik products.

You will be in high demand, and this role requires a strong leader who brings empathy and creates engagement while maintaining high quality. You are expected to provide structure to prioritize work that has the biggest impact on Rubrik’s customers.

About Role :

As a manager for this team, you will be responsible for -

1. Bootstrap the team(s) where necessary by effectively contributing towards hiring strong engineers.
2. Lead the team as a role model, with technical and operational involvement on the ground.
3. You are expected to build a high-performing team, creating a culture of excellence in a fast-paced environment.
4. Interact with customers and/or the support organization to troubleshoot issues and provide clarity on its impact.
5. Work with the PM and other stakeholders to plan the roadmap and own feature delivery end-to-end.
6. Champion an atmosphere of continuous improvement with a metrics-driven culture. You are expected to drive initiatives to improve metrics such as MTTR and CFDs (Customer found defects).
7. Work closely with engineering leaders to drive the roadmap of quality improvements, fixes, tooling, and documentation.
8. Project planning and prioritization - Be able to drive the roadmap while providing support to incoming operational work.
9. Help employees grow through career development, coaching, and mentoring while guiding senior contributors to maximize their potential. You are expected to bring clarity on their respective goals and provide consistent feedback.

About You

• Accomplished engineer with a proven track record of solving complex problems and handling large-scale projects of large in distributed systems - preferably in the domains of storage, data protection, and security.
• BE CS or equivalent with 11+ years of industry experience, of which 2+ years is in Engineering Management
• Prior experience in hiring and developing teams is desired.
• Strong written and verbal communication skills.
• Experience in delivering enterprise products, with high quality standards, and resolving technical issues of a large customer base.
• Background in dealing with hot customer escalations - being able to work with your team to quickly turn around the situation. Leading from the front.

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

Location : Pune
About Team & About Role:

As a Senior Software Engineer (SSE) in the Continuous Product Development (CPD) team, you will play a key role in leading team(s) towards owning the roadmap, providing long-term stability, and providing delight to our enterprise customers. You will work closely with leadership and multiple stakeholders from other engineering teams, the Product and Support organizations. 

You will be working across Rubrik releases on our on-premise data backup & SAAS offering. You are expected to develop a strong understanding of our product and engineering architecture, such as our distributed job framework, data lifecycle management, filesystem, and metadata store. 

We are seeking a highly skilled senior engineer to join our team. You will be responsible for developing and maintaining high-performance software applications. You should have strong programming and troubleshooting skills, excellent design skills, and an understanding of distributed systems. You should be able to work independently and as part of a team. Having an understanding of the storage domain will be preferred, but is not necessary. 

Rubrik SSEs are self-starters, driven, and can manage themselves. We believe in giving engineers responsibility, not tasks. Our goal is to motivate and challenge you to do your best work by empowering you to make your own decisions.  To do that, we have a very transparent structure and give people freedom to exercise their judgment, even in critical scenarios. This develops more capable engineers and keeps everyone engaged and happy, ultimately leading to customer delight. 

Location : Pune
About Team & About Role:

As a Software Engineer(SE) in the Continuous Product Delivery (CPD) team, you will play a key role in providing long term stability and last mile delight to our customers. You will work closely with the core engineering team, product and support org. 

You will be working across Rubrik releases on our on-premise data backup & management offering. You are expected to develop a strong understanding of our product and engineering architecture, such as our distributed job framework, data lifecycle management, filesystem and metadata store. 

We are seeking a highly skilled C++ developer with some familiarity with Python and/or Scala to join our team. As a C++ Developer, you will be responsible for developing and maintaining high-performance software applications using C++ programming language. You should have strong programming and troubleshooting skills, excellent design skills, and understanding of distributed systems. The successful candidate will preferably have a good understanding of the storage domain and be able to work independently and as part of a team.

Rubrik CPD - SEs are self-starters, driven and can manage themselves. We believe in giving engineers responsibility, not tasks. Our goal is to motivate and challenge you to do your best work by empowering you to make your own decisions.  To do that, we have a very transparent structure and give people freedom to exercise their judgement, even in critical scenarios. This develops more capable engineers and keeps everyone engaged and happy, ultimately leading to customer delight. 

So, what’s the role all about?

The DevOps Engineer works as an integrated part of a software engineering team with specific focus on facilitating and building automated pipelines for continuous delivery of the team's deliverables with guaranteed production-level quality and supportability.

How will you make an impact?  

• Manage large scale cluster environments residing on AWS/On prem Windows servers.
• Perform high-level, day-to-day operational maintenance, support, and upgrades for the existing infrastructure.
• Research and recommend innovative solutions, and where possible, automate key administration tasks.
• Provide guidance in the creation and modification of standards and procedures
• Create topics, setup redundancy cluster, deploy management / monitoring tools, alerts.
• Provide technical expertise and guidance to the team.

Have you got what it takes?

• Proven expertise in managing .NET applications and Windows Server environments.
• Expertise in automation through Python or PowerShell is a must.
• Hands-on experience with AWS, CI/CD pipelines using Jenkins and GitHub Actions.
• Solid experience in setting up and maintaining high-availability clusters, including providing 24/7 support.
• Proficient in automation and configuration management using Ansible.
• Strong understanding of security best practices, performance optimization, and disaster recovery planning.
• Familiarity with Team Foundation Server (TFS) and SQL Server is a plus.
• Experience with Prometheus and Grafana for monitoring and observability.

 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: 9025

Reporting into: Tech Manager, CX

Role Type: Individual Contributor

Overview:

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

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

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

What You’ll Do:

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

Required Technical Qualifications:

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

Desired Technical Qualifications:

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

What We Offer:

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

About Guidepoint:

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

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

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

#LI-NJ1

#LI-HYBRID

Overview:

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

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

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

Tech Stack Mandate

What You’ll Do: 

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

Required Technical Qualifications: 

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

Preferred Qualifications: 

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

Competencies:

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

What We Offer: 

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

About Guidepoint: 

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

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

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

#LI-AD2

#LI-HYBRID

So, what’s the role all about?

Within Actimize, the AI Platform is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients’ Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting edge cloud technologies.

How will you make an impact?

NiCE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space

At NiCE Actimize, we recognize that all employee’s contributions are integral to our company’s growth and success. To find and acquire the best and brightest talent around the globe, we offer a challenging work environment, competitive compensation, and benefits, and rewarding career opportunities. Come share, grow and learn with us – you’ll be challenged, you’ll have fun and you’ll be part of a fast growing, highly respected organization.

This new SaaS platform will enable our customers (some of the biggest financial institutes around the world) to create solutions on the platform to fight financial crime.

• Design, and develop scalable, resilient, and enterprise-grade products from the ground up, serving as a technical leader within the development team.
• Drive end-to-end technical tasks and initiatives, defining the technical approach and ensuring alignment with business goals.
• Serve as a technical subject matter expert, providing guidance, mentorship, and expert-level code reviews to ensure high-quality, maintainable, and efficient solutions.
• Pitch ideas and innovate continuously to take the team and project to the next level.
• Own the technical challenges for high-availability systems, ensuring they meet stringent performance, reliability, and security standards.
• Collaborate effectively in multi-disciplinary Agile teams, adopting Agile methodologies and tools.
• Provide expert-level code reviews, guiding the team in translating complex business requirements into elegant and scalable technical artifacts.
• Implement and improve system monitoring, alerting, and observability.
• Create infrastructure through automation for hosting services on AWS.
• Collaborate with multiple teams and stakeholders to achieve business goals.
• Display a strong sense of ownership and proactiveness, and must have delivered applications that are performant, resilient, and efficient from a cost and operations perspective.

Have you got what it takes?

• 4+ years of experience working in the software industry as a software engineer (part of a SW development team and not a support team).
• Experience building GenAI products using tools like AWS Bedrock and OpenAI is must.
• Good experience on Prompt Engineering and advanced prompt techniques.
• Expert-level proficiency in Python and a proven track record of implementing Cloud Native solutions on AWS.
• Deep expertise in designing and deploying solutions within the AWS ecosystem, with an in-depth understanding of AWS networking, security, and costing.
• Experience working in and driving Continuous Integration and Delivery (CI/CD) practices using industry-standard tools such as Jenkins, Docker, Kubernetes, and Artifactory.
• Must have architected and deployed complex microservices from scratch on a cloud ecosystem, owning the entire lifecycle from design to production.
• Must have experience in creating docker containers and hosting the same using EKS/ECS.
• Huge advantage: Hands-on experience with AWS components like API Gateway, Glue, EC2, Lambda, S3, CloudWatch, DynamoDB, SQS, AWS Bedrock, etc.
• Experience with DevOps practices and tools like JIRA, Confluence, and Terraform.
• A team player that demonstrates a strong work ethic, creativity, assertiveness, and flexibility
• Prior experience in the Finance, Fraud, or Anti-Money Laundering (AML) domains is a plus.
• Exposure to GenAI tools like GitHub / Co-pilot is also required.

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: 10230
Reporting into: Tech Manager
Role Type: Individual Contributor

So, what’s the role all about?

We are seeking a Senior QA Automation Specialist to join our Big Data team, where we build cutting-edge, AI-driven applications that empower the world’s largest financial institutions in the fight against financial crime.

You’ll be part of a dynamic group responsible for the analytics and developer experience foundations, enabling software developers, data engineers, and data scientists to deliver scalable, high-quality analytics solutions quickly. In this role, you’ll ensure the quality, reliability, and performance of our intelligent cloud-based products through robust automated testing.

How will you make an impact?

• Lead , design, develop, and maintain automated tests for frontend portal pipelines.
• Implement and manage a scalable testing framework to support continuous integration and delivery.
• Create test plans, and maintain detailed documentation of testing processes, results, and quality metrics.
• Collaborate with developers and product managers to understand system architecture and business requirements.
• Participate in requirements analysis, technical reviews, and test planning.
• Identify, document, and track defects, drive resolution with development teams.
• Monitor production environments, investigate anomalies, and push for timely fixes.
• Ensure data health and correctness across systems.
• Continuously improve QA processes, tools, and best practices.
• Advocate for quality across the development lifecycle.

Have you got what it takes?

• 8-11 years of hands-on programming experience in JavaScript, Python or TypeScript.
• Experience with AWS and cloud-native architectures.
• Familiarity with unit testing, performance testing, and debugging techniques.
• Hands-on experience with automation frameworks like Playwright, Selenium, or equivalent.
• Proficiency with Git and collaborative development workflows.
• Fast learner with excellent analytical and problem-solving skills.
• Strong communication skills and a proactive, ownership-driven mindset.
• Passion for building scalable, resilient systems in cloud environments.
• Can-doer that can take a task from plan to completion
• Team player, excellent communication, and presentation skill

What Would Make You Stand Out?

• Exposure to DevOps practices and tools like Jenkins, Terraform
• Background in data quality assurance and monitoring
• Experience with test management tools such as Jira, X-Ray,Playwrite, or similar

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: 9865
Reporting into: Group Lead, Engineering, Recording
Role Type: Individual Contributor

Overview of Role

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

Responsibilities

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

Qualifications

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

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 looking for Level 2 Engineer for our Device Management Team, having 4+ years of experience in Device Management. The team member will be responsible for the administration of the Security Devices like Next Gen Firewall. He should be well versed in the Change and Incident Management process. He should be ready to work in 24 X 7 shift. 

Key Roles & Responsibilities:

Firewall Operations & Troubleshooting:

• Monitor, manage, and optimize firewall performance, health, and security.
• Perform advanced troubleshooting of firewall-related issues, working closely with L1 and L3 teams.
• Investigate security incidents, network anomalies, and connectivity issues.
• Fine-tune firewall rules, policies, and configurations for performance and security improvements.
• Work on packet captures and traffic analysis to diagnose network security issues.

Rule & Policy Management:

• Review, implement, and modify firewall rules while ensuring security and compliance standards.
• Conduct firewall rule audits and remove redundant or obsolete rules.
• Manage access control policies, VPN configurations, and segmentation policies.
• Ensure compliance with organizational and regulatory security guidelines.

Incident & Change Management:

• Act as an escalation point for L1 engineers and assist in resolving complex firewall issues.
• Participate in Root Cause Analysis (RCA) for recurring firewall incidents and recommend fixes.
• Handle firewall upgrades, patches, and firmware updates as per change management procedures.
• Support IT security and compliance teams in conducting risk assessments and vulnerability remediation.

BAU Operations & Automation:

• Implement automation scripts for firewall monitoring and reporting.
• Optimize firewall logging, alerting, and monitoring for proactive security management.
• Coordinate with vendors and OEM support teams for hardware/software troubleshooting.

Documentation & Reporting:

• Maintain up-to-date documentation on firewall configurations, rule changes, and security incidents.
• Prepare reports on firewall performance, threat activities, and policy violations.
• Provide training and mentorship to L1 engineers on firewall best practices.

Basic Qualifications:

• Bachelor’s degree in IT, Computer Science, or a related field.
• Relevant security/network certifications such as CCNP Security, Fortinet NSE 3+, Palo Alto PCNSA/PCNSE, Check Point CCSA/CCSE, Juniper JNCIS-SEC, or equivalent.
• Strong verbal and written communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Ability to work with minimal levels of supervision or oversight.
• Ability to work in a 24x7 environment (if required) and manage escalations effectively.

Preferred Qualifications 

• ITIL Foundation
• Experience in working in shifts and hands on experience with ITIL framework
• Worked on multiple clients’ environments and deployment

Position Summary:

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

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

Key Responsibilities:

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

Basic Qualifications:

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

Preferred Qualifications:

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

Position Summary:

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

Key Responsibilities:

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

Basic Qualifications:

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

Preferred Qualifications:

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

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

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.

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.

What's the Role All About? 

The Software Engineer is a customer-facing, billable role responsible for implementing, configuring, and delivering AI-driven and Conversational AI solutions across the NICE CXone ecosystem.  As a hands-on technical contributor, you will build integrations, configure conversational AI platforms, and ensure high-quality execution of project deliverables.  

How Will You Make an Impact? 

• Partner with business stakeholders to map current workflows, identify ROI-backed opportunities (reduced effort, improved employee experience, measurable efficiency gains), and define future-state toAI-enabled processes.
• Design, build, and iterate AI solutions and automations in n8n, Copilot Studio, and other AI/automation tools; create reliable agents and assistants that remove manual work.
• Understand and work within NiCE internal processes and systems (e.g., CRMs, knowledge bases, ticketing/support tools, and operational platforms) to ensure solutions fit real-world constraints.
• Collaborate with IT and Developers when needed to overcome technical obstacles, integrate securely with enterprise systems, and scale solutions.
• Enable and upskill internal support teams to use AI effectively—through reusable patterns, playbooks, coaching, and hands-on problem solving.
• Maintain expertise in modern AI approaches and apply them pragmatically to internal operations, including LLMs, RAG, GPT-based assistants, Copilot ecosystems, MCP servers, APIs, JSON, and light scripting. Use AI tools to debug and resolve workflow or code errors.

Have You Got What It Takes? 

• 2+ years of experience in solutioning, business process improvement, operations consulting, or similar roles driving cross-functional change.
• Proven ability to translate operational needs into practical AI use cases and deliver outcomes against clear success metrics.
• Strong, applied knowledge of AI and NLP technologies (LLMs, RAG, GPTs, Copilot-style assistants, AI agent patterns, MCP servers).
• Hands-on experience building automations/assistants with n8n (or comparable orchestration tools); comfort developing in Copilot Studio or similar platforms.
• Working knowledge of API integrations, JSON, and basic coding/scripting; able to use AI tools to debug and manipulate code or automation errors.
• Demonstrated curiosity and ongoing personal or professional use of AI tools to improve workflows—someone who experiments, learns fast, and brings practical AI habits into the role.
• Excellent stakeholder management and communication skills, with the ability to drive adoption and help others become effective with AI.
• Comfortable operating in a fast-paced environment, balancing multiple initiatives and iterating quickly based on feedback and results.

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. 

About NICE

NICE Ltd. (NASDAQ: NICE) is an innovation leader in AI, cloud, and digital solutions, serving over 25,000 global businesses, including 85 of the Fortune 100 corporations. With over 8,500 employees across 30+ countries, NICE software handles more than 120 million customer interactions and monitors over 3 billion financial transactions daily. NICE is committed to diversity and inclusion, ensuring equal opportunities for all candidates.

Requisition ID: 10542
Reporting into: Tech Manager
Role Type: Individual Contributor

What’s the role?

You will design and build automation frameworks and AI-enabled testing capabilities used across multiple teams. This role focuses on engineering scalable systems and tools, not just writing tests—turning real-world workflows into reusable automation and intelligent validation.

How will you make an impact?

• Design, develop, and maintain shared automation frameworks and platform components used across teams.
• Build and extend AI-enabled automation solutions, including intelligent validation and test generation.
• Develop service-level and API automation, ensuring coverage across distributed systems.
• Integrate automation into CI/CD pipelines, enabling continuous validation at scale.
• Collaborate with architects and engineering teams on backlog-driven platform development.
• Improve automation efficiency through AI-assisted development, test generation, and analysis.
• Debug and diagnose issues across automation, services, and system interactions.

Have you got what it takes?

• 5–8 years of professional software development experience (not just test execution).
• Strong programming skills in Java or C# with solid object-oriented design principles.
• Hands-on experience with modern automation frameworks (Playwright or similar).
• Experience building API and service-level automation (REST or event-driven systems).
• Working knowledge of Python, especially for AI-related workflows or tooling.
• Experience integrating automation into CI/CD pipelines.
• Strong understanding of system design, debugging, and maintainability.
• Ability to work across teams and contribute to shared platforms and frameworks.

AI & Automation expectations

• Hands-on exposure to LLMs or AI-assisted development tools.
• Experience applying AI/LLM tools to automate test generation, validation, or analysis.
• Practical mindset for using AI to solve real engineering problems, not just prompt tuning.

Nice to have

• Experience with TypeScript-based frameworks (Playwright ecosystem).
• Familiarity with cloud platforms (AWS/Azure).
• Experience building internal tools, SDKs, or shared libraries.
• Exposure to observability and debugging tools.
• Experience working in distributed systems or microservices environments.

What’s in it for you?

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

Enjoy NICE-FLEX!

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

Req ID: 10559
Reporting into: Tech Manager, Engineering, CX
Role Type: Individual Contributor

So, what’s the role all about? 

We’re seeking a skilled Professional Services Engineer to deliver tailored technical solutions, successful deployment, configuration, and integration of our software solutions for clients. You’ll work closely with customers and internal teams to translate business needs into scalable, data-driven solutions. 

This role requires hands-on experience of Advanced Call Flow configurations, Digital Channel and basic knowledge Bot configurations.  You’ll support data integration, automate processes, and help clients get the most value from our platform. 

 How will you make an impact?   

• Collaborate with clients and internal account teams to gather requirements, understand business needs, and deliver tailored reporting solutions. 

• Install, configure, and customize the company’s software products in client environments  

• Work closely with cross-functional teams (QA, Development, Product) to stay aligned on feature changes and data impacts. 

• Train customers and internal stakeholders on product features and best practices 

• Document solutions, timelines, deliverables, and technical details to ensure clarity and continuity across projects. 

• Present project updates, outcomes, and recommendations to internal stakeholders and client leadership. 

• Manage multiple client projects in a fast-paced environment while ensuring timely and high-quality delivery. 

• Contribute to continuous process improvement and knowledge-sharing across the Professional Services team. 

Have you got what it takes?  

• 2+ years of experience in professional services, technical consulting, or enterprise software implementation. 

• Knowledge of CCaaS, IVR configuration, and an understanding of multi-channel communication such as SMS, chat, etc. 

• Proficiency in SQL, with the ability to write optimized queries  

• Hands-on experience with relational databases such as MySQL and Oracle. 

• Strong analytical and problem-solving skills with attention to detail. 

• Excellent communication skills with a customer-focused approach. 

• Ability to manage multiple client projects while maintaining high quality and responsiveness. 

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. 

 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! 

About NICE 

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. 

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. 

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

Requisition ID:  10724
Reporting into:  Tech Manager , Professional Services
Role Type:  Individual Contributor

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

Responsibilities:

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

Required Skills & Qualifications:

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

Preferred Qualifications:

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

Experience Level :10 to 13 years

Overview of Role

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

Responsibilities

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

Key Skillsets

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

Qualifications

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

Overview of Role

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

Responsibilities

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

Qualifications

Required Technical and Professional Expertise:

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

Preferred Qualifications:

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

So, what’s the role all about?

Senior Automation Engineer is responsible for ensuring the quality and reliability of web applications through a combination of manual and automated end‑to‑end testing. The role involves designing and maintaining scalable automation frameworks, executing hybrid test strategies, and leveraging AI agents to accelerate automation and improve test coverage. This position may operate in a US‑shift model and requires close collaboration with cross‑functional teams to troubleshoot issues, integrate automation into CI/CD pipelines, and deliver high‑quality product releases.

How will you make an impact?

Conduct comprehensive e2e testing of web applications using both manual techniques and automated tools.

Develop, enhance, and maintain automation frameworks using industry standard tools and libraries‑standard tools and libraries. Integrate automated accessibility checks into CI/CD pipelines to enforce shift-left accessibility practices. Document findings with clear, actionable defect descriptions, screenshots in our test management system (i.e. JIRA)

Analyses information solves problems and reaches conclusions within his/her professional space. Create and execute automation E2E test cases for web applications along with data generation. 

Responsible for defined tasks of low to medium complexity. 

Good understanding of subject matter theory, professional concepts and their application within professional space. Attend training to continue to enhance existing knowledge in technical and non-technical areas. Adheres to Defined SDLC processes. 

Have you got what it takes?

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

5 to 7 years of experience in IT as Automation QA Engineer.

4 + years of hands-on experience in UI Automation testing

Expert in designing test strategy, test cases, test plans.

Playwright equivalent UI testing tools

Languages Typescript/Java/JavaScript

Experience with CI/CD tools like Jenkins.

Experienced with defect management and tracking tools, preferably Jira.

Experience working in Agile methodology.

Exposure to AI tools like GitHub Copilot, Claude code or equivalent..

You will have an advantage if you also have:

ISTQB Certified or equivalent

Desirable to have knowledge of API validations using Postman or RestAPI. 

Desirable to have knowledge of Cloud services like AWS. 

Excellent communication skills, very good English

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: 10495

Reporting into:  Tech Manager
Role Type: Individual Contributor

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

So, what’s the role all about?

As a Database Reliability Engineer (DBRE), with 8-12 years of experience you will be responsible for designing, developing, and maintaining robust automation and reliability solutions that support the stability and performance of our data platforms within our Azure SaaS environment. You will work closely with Platform Engineering, SRE, Cloud Operations, and R&D teams to implement tools and frameworks that ensure seamless scaling, proactive monitoring, and self-healing of data services.

Your mission is to bridge the gap between database engineering and site reliability, ensuring our cloud-native offerings are resilient, secure, and capable of efficient development on a scale.

How will you make an impact? 

• Own availability, reliability, scalability, and performance of production and non‑production database platforms.
• Design, operate, and optimize DynamoDB, AWS RDS (PostgreSQL), Aurora, and Amazon OpenSearch environments.
• Implement and automate backup, restore, high availability, and disaster recovery strategies.
• Lead investigation and resolution of database‑related incidents and contribute to post‑incident reviews.
• Partner with Platform Engineering and SRE to define standards and best practices for database lifecycle management.
• Enable secure and scalable self‑service data platform workflows for application teams.
• Perform performance tuning, capacity planning, and query optimization.
• Build and maintain observability for data platforms using metrics, logs, and alerting.
• Automate provisioning and operations using Infrastructure as Code tools.
• Ensure compliance with security, regulatory, and data governance requirements.

Have you got what it takes?

• AWS (RDS, Aurora, IAM, Networking, Monitoring)
• PostgreSQL
• Amazon OpenSearch
• Time‑series databases 
• Kubernetes (EKS)
• Terraform / OpenTofu
• Prometheus, Grafana, OpenTelemetry
• CI/CD and GitOps pipelines

You will have an advantage if you also have:

• Knowledge of OpenSearch or similar search technologies.
• Background in time‑series data platforms.
• Experience working in regulated or compliance‑driven environments.
• Kubernetes‑native database operation experience.
• CI/CD skills
• AWS experience

What’s in it for you?

At NiCE Actimize, you will work on mission‑critical platforms that protect the global financial system. You will be part of a strong Platform Engineering organization focused on automation, reliability, and developer experience, with opportunities to grow technically and professionally while making real‑world impact.

 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: 10679
Reporting into: Senior Director of Engineering
Role Type: Individual Contributor

About the role

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

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

Your day to day :

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

What you bring to the team :

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

What we would like to see but not required:

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

What you’ll get in return :

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

Work arrangements :

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