What You'll Do

At HG Insights, we run one of the most data-rich go-to-market environments in B2B SaaS. We're looking for a Senior AI GTM Automation Engineer who will sit inside our Sales Engineering and Solutions team and build the tools, integrations, and AI-powered workflows that make our Sales Engineers, Solutions Engineers, and Enterprise CSMs dramatically more effective.

This is a force-multiplier role. You'll embed with revenue teams, understand their daily jobs to be done, and turn manual, repetitive work into fast, reliable automations—so our best people spend their time on the work only humans can do.

Core Responsibilities

• Workflow discovery: Shadow and interview Sales Engineers, Solutions Engineers, and Enterprise CSMs to map their day-to-day workflows and build a prioritized automation backlog ranked by impact and effort
• Sales Engineering tools: Build data-assembly tools that pull from HG's APIs, automate technical discovery prep, and generate proof-of-concept materials—reducing manual pre-call and post-call work for SEs
• Solutions Engineering tools: Automate the generation of technical scoping docs, integration-architecture diagrams, and solution briefs; maintain a reusable library of solution templates and sandbox configurations
• Enterprise CSM automations: Build automations for account health briefs, QBR summaries, risk-detection alerts, and personalized outreach workflows using data from Vitally, Salesforce, and Slack
• AI-powered workflow engineering: Design and deploy LLM-based workflows using Claude and the Claude Agent SDK—building agents, MCP server integrations, and agentic pipelines that operate across the GTM tool stack
• Platform ownership: Maintain and evolve the internal GTM automation stack; document every tool so teams can self-serve; instrument monitoring so failures surface quickly

What We're Looking For

Experience

• 3–7 years in a technical role—software engineering, solutions engineering, RevOps engineering, or a closely related field
• Demonstrated track record of building internal tools or automations that eliminated manual work for a GTM or customer-facing team
• Hands-on experience integrating with SaaS APIs (Salesforce, Slack, HubSpot, Vitally, or similar)

Technical skills

• Expert-level user of Claude Code—you use it daily, understand its agentic capabilities, and can build production workflows with it
• Proficiency in Python and/or JavaScript/TypeScript for scripting, API integration, and automation
• Working knowledge of MCP (Model Context Protocol) servers and LLM-based agent frameworks
• Comfort with workflow automation platforms such as n8n, Zapier, or Make
• Familiarity with the GTM tool ecosystem: Salesforce, Vitally, Slack, Gong, Granola, Outreach, or equivalent

How you work

• Business mindset: You understand that tools are only valuable if people use them—you design for adoption, not just functionality
• Discovery-first: You run structured discovery sessions with non-technical stakeholders and translate fuzzy pain points into scoped, buildable solutions
• Ship fast, iterate often: You prefer a useful tool in users' hands over a perfect tool on a roadmap
• High reliability bar: If an automation breaks, the team loses trust—you build with monitoring and graceful failure in mind

Nice to have

• Experience working in or embedded with a Sales Engineering, Solutions Consulting, or Customer Success team
• Familiarity with HG Insights products and use cases—technology intelligence, installed-base data, or intent signals
• Prior experience building Claude-powered agents or working with the Anthropic API at a production level

Why HG Insights

We're the global leader in technology intelligence—the data that helps the world's best B2B sales and marketing teams find and close the right customers. This role offers an uncommon combination of technical depth and business impact: you'll define your own roadmap, work directly with the teams you're serving, and see your work reflected in real revenue outcomes.

We offer competitive compensation, equity, and a team that genuinely invests in your growth as an engineer and as a GTM thinker.

HG Insights is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About The Role 

We are looking for a highly skilled Cloud Platform Developer to join a fast-paced and rapidly growing engineering team. The ideal candidate has a strong background in building and operating high-scale distributed systems and thrives in environments where ownership, technical excellence, and collaboration are essential.

Key Responsibilities

• Design, build, and maintain large-scale distributed systems that are reliable, performant, and scalable
• Contribute across the full software development lifecycle, from architecture and design to deployment, monitoring, and operations
• Collaborate closely with cross-functional engineering teams to deliver high- quality features and system improvements
• Debug complex production issues with strong analytical and problem-solving skills
• Drive technical initiatives, set best practices, and contribute to continuous improvement of system reliability and performance
• Provide technical leadership on new projects and infrastructure enhancements

Basic Qualifications

• 8+ years of software development experience in a fast-paced, high-growth environment
• Demonstrated experience building large-scale, distributed systems
• Proficiency in Go microservices and Kubernetes / SaaS platforms
• Experience operating distributed systems in production, with a strong sense of ownership and accountability
• Excellent communication skills and the ability to collaborate effectively across teams 

Preferred Qualifications

• Proficiency in Secure Software Development practices

Role 

We are looking for a Staff Threat Researcher to join our Threatlabz team. This is a hybrid role based in Mohali,reporting to the Senior Manager, Threat Research. As a key contributor to our threat research initiatives, you will lead the charge in identifying vulnerabilities and analyzing sophisticated malware within the Apple ecosystem. Your expertise in macOS and iOS system internals will drive the development of advanced detection strategies and strengthen our overall product defenses.

What you’ll do (Role Expectations)

• Perform static and dynamic analysis of macOS and iOS applications, firmware, and system internals to identify vulnerabilities and malicious functionality
• Reverse-engineer malware samples to decipher behavior, capabilities, and attack vectors while contributing to prevention strategies
• Research and maintain deep expertise in macOS security features, XNU kernel updates, and frameworks such as Endpoint Security and Network Extensions
• Develop custom tools and scripts to automate reverse engineering, binary analysis, and malware-related processing tasks
• Partner with engineering, QA, and threat intelligence teams to integrate new security features and harden product defenses

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Proficiency in system-level languages including C, C++, Objective-C, Swift and deep knowledge of macOS architecture, Mach-O binary formats, and security mechanisms like SIP, TCC, and Gatekeeper
• Extensive hands-on experience with reverse engineering tools such as IDA Pro, Ghidra, Binary Ninja, Frida, and Wireshark
• Strong scripting skills, particularly in Python, for automating complex analysis and research tasks
• Proven ability to decompile, disassemble, and de-obfuscate closed-source binaries to reconstruct logic without source code access

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Windows or Linux platforms for comparative threat analysis
• Prior professional track record in specialized malware analysis or vulnerability research
• Thorough understanding of network protocols and system-level communication mechanisms

#LI-Hybrid
#LI-RG

What we need you to contribute to Ensono:

• Design, build, and support ServiceNow‑centric integrations using REST APIs, IntegrationHub, and Flow Designer

• Develop and operate AWS‑based serverless components (Lambda, API Gateway, SQS, DynamoDB) that support ServiceNow workflows

• Troubleshoot and resolve production integration issues across ServiceNow and AWS, including API failures, data issues, and asynchronous processing problems

• Communicate clearly with clients and internal teams to coordinate integration changes, incidents, and technical requirements

• Actively participate in sprint planning, backlog refinement, and continuous improvement of the team’s integration platform

• Create and maintain technical documentation, including integration workflows, data mappings, and operational runbooks

Skills & Behaviors that are reliable indications that you can contribute:

• Hands‑on experience building ServiceNow integrations using:

• • REST APIs (inbound and outbound)

  • IntegrationHub and Flow Designer

  • Scripted logic and custom actions

• Strong understanding of web services and integration patterns, including REST‑based authentication and error handling

• Practical experience with AWS services such as Lambda, API Gateway, SQS, DynamoDB, and CloudWatch

• Proficiency with Node.js for serverless and integration development

• Experience diagnosing and troubleshooting integration issues in production environments

• Ability to communicate technical information clearly to both technical and non‑technical stakeholders

• Experience documenting integration designs and support procedures for operational use

What you will receive from Ensono:

The opportunity to work on modern, ServiceNow‑centric integration solutions used by enterprise clients

Hands‑on experience with AWS serverless architectures and event‑driven integration patterns

A collaborative, agile engineering environment that values ownership and continuous improvement

Opportunities to influence integration design, reliability, and support standards as the platform evolves

ABOUT US

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com. 

Job Role Summary

The Network Engineer is responsible for the implementation, and support of enterprise and data center–wide voice and data network solutions that align with Ensono’s architecture standards and business objectives. This role ensures stable, secure, and scalable network services for Ensono and its customers by developing, implementing, and maintaining network, security/threat, and voice solutions.

The Network Engineer works independently on complex assignments, collaborates with senior engineers and cross‑functional teams, and provides technical guidance and mentorship to less experienced team members.

Duties and Responsibilities

Technical Delivery & Operations

• Implement, and maintain enterprise and data center network solutions, including routing, switching, security, voice, and load‑balancing technologies.
• Manage, configure, and troubleshoot routing and switching devices across enterprise networks.
• Implement and maintain firewall solutions using Palo Alto and/or Check Point technologies, including policy configuration, NAT, VPNs, and platform upgrades.
• Configure, monitor, and optimize load balancers (F5, Citrix NetScaler, A10, or equivalent) to ensure high availability and performance.
• Participate in network upgrades, migrations, and new deployments.

Incident, Change & Problem Management

• Perform proactive network monitoring, incident response, and root cause analysis for escalated issues.
• Drive Major Incident (MI) calls end‑to‑end and ensure effective resolution and stakeholder communication.
• Participate in network‑related projects, change tickets, and trouble tickets.
• Assist in prioritization of network issues and provide frontline response to internal teams.

Engineering Standards & Documentation

• Develop and maintain network documentation, including diagrams, configurations, standards, and guidelines.
• Contribute to network and security capacity planning activities.
• Ensure compliance with Ensono security standards and industry best practices.

Collaboration & Customer Engagement

• Interact and consult with Ensono customers to gather solution requirements.
• Coordinate solutions with customers and internal stakeholders.
• Communicate project status effectively and support client satisfaction measurement.

Leadership, Ownership & Strategy

• Fully functional and self‑directed on assigned work.
• Own high‑complexity and moderate‑complexity assignments; provide oversight and review for low‑complexity work.
• Lead high‑priority technical initiatives or processes.
• Act as a product, technology, or domain Subject Matter Expert (SME) as required.
• Provide formal or informal mentorship to less experienced associates.
• Contribute to product and technology strategy (e.g., Cisco or security platforms), including:
• Input into product roadmaps and requirements
• Collaboration with engineering and delivery teams to align strategy with implementation and operational capabilities

Qualifications

Required

• Bachelor’s degree or equivalent relevant work experience.
• Strong knowledge of routing protocols (OSPF, BGP, EIGRP).
• Expertise in switching technologies (VLANs, STP, trunking, EtherChannel).
• Hands‑on experience with Cisco routing and switching technologies.
• Hands‑on experience with firewall technologies (Palo Alto and/or Check Point).
• Experience with load balancers such as F5, Citrix NetScaler, A10, or equivalent.
• Solid understanding of network security principles and best practices.
• Ability to work effectively in a fast‑paced, customer‑focused environment.

Preferred

• Advanced knowledge of routing, switching, and security policy design.
• Familiarity with network monitoring tools (e.g., SolarWinds, Nagios).
• Relevant certifications or equivalent experience in one or more of the following:
• CCNA, CCNP, CCDP, CCIE
• Palo Alto (PCNSE)
• F5 Certification
• Check Point or other security certifications

Soft Skills

• Strong analytical and problem‑solving skills.
• Excellent communication and collaboration abilities.
• Strong documentation and reporting skills.
• Ability to mentor junior engineers and operate effectively within a team environment.
• Demonstrates a holistic perspective and adjusts priorities based on the broader business impact.

Shift Timing- 24*7 Rotational Shift 

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

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

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

The Role

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

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

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

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

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

What You’ll Do

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

Who You Are

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

Bonus

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

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

WHAT YOU'LL DO:

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

WHAT YOU'LL NEED:

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

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

#LI-TN1

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

WHAT YOU'LL DO:

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

WHAT YOU'LL NEED:

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

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

#LI-TN1

Position Summary:

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

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

Key Responsibilities:

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

Basic Qualifications:

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

Preferred Qualifications:

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

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

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 AppDirect

Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device – as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work.

About You

We are looking to hire skilled and ambitious software developer talent in Pune. We love entrepreneurial spirit and those who bring experience from established organizations. You are a highly technical, hands-on .NET developer with a passion for producing maintainable and robust code. You’re passionate about driving value through innovative solutions and enjoy working in a collaborative environment. You will design and develop well-tested software, build mission-critical services, and APIs that scale with our increasingly elegant set of features. We’d love to have you on board!

What You’ll Do and How You’ll Have an Impact

• You will help shape and evolve the ecosystem for integrations into our platform as we scale with more use cases and areas of extensibility.
• Architect and build systems that can process a high volume of transactions.
• Design, implement, and support scalable fault-tolerant systems to minimize customer impact in case of failures.
• Participate in the effort to move to a micro-service oriented architecture.
• You’ll work shoulder to shoulder with some of the best people in different disciplines like product management and business analytics.

What We’re Looking For

• Experience developing solutions in various programming languages.
• Strong working knowledge of C#, .NET 6+, .NET Framework, MS SQL, TypeScript, React, MVC, and ASP.NET.
• Knowledge of web service technologies and building REST APIs.
• Enjoy building production-grade code, then supporting and maintaining it once it goes live.
• Courage to dig in, refactor existing code, and explore new technology.
• Comfortable in code reviewing other engineers’ code and participating in technical designs.
• Proven track record of delivering end-to-end business solutions.
• B.E. / B.S. degree (or higher) in Computer Science or a related field.
• 8–12 years of relevant experience.

Nice to Have (Assets)

• Experience with JavaScript.
• Experience with React.

At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience, and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.

At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice

About the Team

Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.

About the Role

The Data User Platform and Programs team works at the intersection of data infrastructure, reliability, governance, developer tooling and AI systems, supporting thousands of internal data users including engineers, analysts, data scientists and business stakeholders.

This role is part of a founding engineering team in India, offering high ownership, strong growth opportunities, and direct influence over the platform’s long-term architecture. 

You will work on systems such as:

• Platform foundations for reliability, observability, cost-efficiency and compliance
• A unified data discovery and catalog experience
• AI-powered assistants and workflows for analytics and operations

You will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem.

You’re excited about this opportunity because you will…

• Improve scalability, performance, and reliability of data platform services through strong engineering practices
• Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently
• Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants
• Add observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time
• Drive cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources
• Embed cost awareness into the data lifecycle, including:
• Designing systems that encourage reuse over duplication
• Instrumenting usage and cost signals into platform services
• Supporting safe deprecation and cleanup of stale data assets
• Partner with cross-functional teams in a fast-moving, product-driven environment

We’re excited about you because…

• B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
• 6+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python
• Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance, you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like Spark, Clickhouse, Iceberg and Airflow
• Experience improving efficiency, scalability, and stability of data platforms
• Experience building or operating backend systems in production environments

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.

About the Role

The Data User Platform and Programs team works at the intersection of data infrastructure, reliability, governance, developer tooling and AI systems, supporting thousands of internal data users including engineers, analysts, data scientists and business stakeholders.

This role is part of a founding engineering team in India, offering high ownership, strong growth opportunities, and direct influence over the platform’s long-term architecture. 

You will work on systems such as:

• Platform foundations for reliability, observability, cost-efficiency and compliance
• A unified data discovery and catalog experience
• AI-powered assistants and workflows for analytics and operations

You will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem.

You’re excited about this opportunity because you will…

• Improve scalability, performance, and reliability of data platform services through strong engineering practices
• Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently
• Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants
• Add observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time
• Drive cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources
• Embed cost awareness into the data lifecycle, including:
• Designing systems that encourage reuse over duplication
• Instrumenting usage and cost signals into platform services
• Supporting safe deprecation and cleanup of stale data assets
• Partner with cross-functional teams in a fast-moving, product-driven environment

We’re excited about you because…

• B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
• 3+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python
• Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance, you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like Spark, Clickhouse, Iceberg and Airflow
• Experience improving efficiency, scalability, and stability of data platforms
• Experience building or operating backend systems in production environments

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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

• 8+ years of experience in product development field.
• 2+ years of recent experience in building products on cloud.
• Strong understanding of data structures, algorithms, and designing for performance.
• Strong knowledge in OOPS with .Net, C# or relevant technologies with SQL Server or any RDBMS.
• For Fullstack roles, hands-on experience in development with either Angular, VueJS or React.
• Experience with Microservices Architecture.
• Hands-on experience in building products for Unix systems in addition to Windows
  
• Working knowledge of CI/CD pipelines and AWS/Azure cloud services
• Knowledge of asynchronous programming and WebAPI development is required
• Knowledge and awareness of cloud/ application security is a must (OWASP, PII, GDPR)
• Extensive experience in mentoring junior engineers to success
• Strong logical, analytics and problem-solving skills
• Must be able to work effectively across team boundaries
• Attention to details
• Strong oral and written communication skills

• Graduate/Master's degree in Computer Science, Engineering, or a related discipline
• Strong logical, analytics and problem-solving skills
• Must be able to work effectively across team boundaries
• Attention to details
• Ability to work independently.

About the Role 
Reporting to the Software Engineering Manager as a member of the Development team at IDC, the 
Principal Software Engineer is responsible for delivering quality and performant software and design to handle the vast array of use cases that our customers have today. 
This role is responsible for Developing Software Solutions by learning information needs, discussing with managers, studying systems flow, data usage, finding problem areas and coming up with solutions & following the software development lifecycle. 

Responsibilities:  
 Responsible for technical development of multiple projects & products  
 Working on data structures & algorithms, time & space complexity, OOPs 
 Transforming Logic to Code 
 Designing and developing UI front end Technologies. 
 Working on web application development  
 Developing products by using different technologies  
 Doing optimization of Code  
 Working on Debugging and fixing Cross Browser Compatibility issues and Optimization for web by using best practices  
 Making sure that Web applications are secure 
 DevOps transformation using Agile and SCRUM methodologies. 
 Provide recommendations for continuous improvement. 
 Assisting in the integration of technical and application components 
 Work alongside other team members & Leaders to elevate technology and consistently apply best practices. 
 Responsible for providing smart & applicable solutions for complex problems/ blockers 
 Supports and mentor junior team members by providing advice, coaching & solutions for blockers 

Qualifications, Skills & Experiences 
 
 5+ plus years’ experience in product development field with hands on experience. 
 Strong knowledge in OOPS with .Net, C# or relevant technologies with SQL Server or any RDBMS 
 Hands on experience in design and development on UI front end Technologies. 
 Good exposure to web application development using HTML 5, CSS3 ,Bootstrap, JavaScript. 
 Experience in development of Angular 4+, VueJS or React. 
 Expertise in Responsive web design, HTML5, and CSS pre-processors 
 Strong in JavaScript (object oriented concepts) & JavaScript optimization  
 Strong logical, analytics and problem-solving skills 
 Must be able to work effectively across team boundaries. 
 Attention to details 
 Ability to work independently 
 Strong oral and written communication skills 
 Working knowledge of CI/CD pipelines and AWS/Azure cloud services is essential 
 Hands on experience of building products for unix systems in addition to windows is good to have 
 Very good communicator 
 
Education: 
 Engineering graduate or higher from Tier I or Tier II colleges.  

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 US 

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com. 

 Job Summary

This role supports a mission‑critical Azure PaaS environment for the client as part of a dedicated Ensono support team. The position combines senior-level Azure engineering with operational responsibility, including request-based work, incident response, networking configuration, and change governance.

The successful candidate will work closely with the client’s application teams, network teams, and operations stakeholders to deploy, support, and maintain secure, highly available Azure PaaS platforms. This is a client-facing role requiring strong communication skills, operational discipline, and the ability to work across L1–L3 support activities within a single team model.

Job Responsibilities

Azure PaaS & Platform Operations

• Act as a lead engineer within a dedicated client support pod providing Azure PaaS and networking support.
• Provide day‑to‑day operational support for Azure PaaS environments across development, test, staging, and production subscriptions.
• Handle a request‑driven workload using ServiceNow, including standard changes, minor changes, and connectivity requests.
• Deploy, configure, and support Azure PaaS services including:
• Azure App Service (ASE v3, App Service Plans, Web Apps, Function Apps, App Slots)
• Azure Front Door, Application Gateway (v2), Web Application Firewall (WAF)
• Azure Service Bus, Event Hub, Logic Apps
• Supporting platform services such as Key Vault, Azure Monitor, Application Insights, Log Analytics, and Workbooks

Networking, Security & Connectivity

• Design, implement, and troubleshoot Azure networking components, including:
• Network Security Groups (NSGs) as a primary operational responsibility
• Virtual Networks, subnets, custom DNS, and VNet peering
• User Defined Routes (UDRs) for specialized connectivity scenarios
• Application Gateway, Load Balancers, Azure Front Door, and Traffic Manager
• Connectivity between Azure PaaS services, on‑premises systems, and external services via ExpressRoute
• Support TLS/HTTPS configurations, redirect rules, and secure ingress patterns in coordination with Mayo network and security teams.
• Troubleshoot complex connectivity issues involving Azure PaaS, on‑premises networks, and approved external services.

SQL Connectivity (Reduced Platform Ownership)

• Serve as a contributor for SQL connectivity enablement, including:
• NSG rule design and validation for Azure SQL Database and Azure SQL Managed Instance
• Updating Azure SQL firewall rules when required
• Supporting provisioning and decommissioning requests for Azure SQL Managed Instances
• Note: Core SQL platform administration and operations are supported internally by the client; this role focuses on networking, access, and integration enablement rather than database administration.

Operations, Governance & Support

• Participate in incident response and on‑call rotation aligned to business‑critical production systems.
• Troubleshoot and resolve incidents across L1, L2, and L3 infrastructure and platform support layers.
• Participate in Change Advisory Board (CAB) meetings, including standard and major change reviews.
• Ensure adherence to the client's policies, security controls, architectural standards, and governance processes.
• Work with CI/CD pipelines and Infrastructure‑as‑Code (Terraform, Azure DevOps) to deploy and maintain standardized environments.
• Contribute to operational documentation, knowledge articles, and continuous improvement initiatives.
• Support audits, reviews, and compliance‑related requests when required.
• Mentor junior engineers and actively contribute to team knowledge sharing.

Mandatory Skills and Experience

• 5+ years’ experience supporting highly available, mission‑critical environments.
• 2+ years’ hands‑on experience engineering and supporting Azure platforms, with a strong focus on PaaS.
• Strong experience with Azure PaaS services (App Service, Functions, Front Door, Application Gateway, monitoring services).
• Solid understanding of Azure networking, including NSGs, TCP/IP, routing, ExpressRoute, and secure connectivity patterns.
• Experience working in a ticket‑driven operational environment (ServiceNow or equivalent).
• Experience supporting production systems with strict access controls and formal change management.
• Ability to work effectively across a blended L1–L3 support model.
• Experience with automation and IaC tools such as Terraform and Azure DevOps.
• Scripting experience in PowerShell, Python, or Bash.
• Familiarity with ITIL processes (incident, problem, and change management).
• Excellent written and verbal communication skills with a strong customer‑service mindset.

Preferred / Beneficial Experience

• Experience supporting regulated or healthcare environments.
• Exposure to containers, AKS, or modern CI/CD practices.
• Azure Associate or Professional certifications (current or in progress).
• Prior participation in CABs and formal governance forums.

Personal Attributes

• Independent, accountable, and self‑
• Comfortable balancing operational support and engineering work.
• Strong sense of ownership and customer focus.
• Desire to continually improve systems, processes, and personal

Shift timings

1:30 PM to 10:30 PM

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

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.

Location Details: India, Remote

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

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

Join Our team... 

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

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

What you'll get to do...

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

Your experience should include...

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

You might also have...

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

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

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

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

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

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

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

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

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

The Role

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

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

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

What It Means to Be L5 at Securly

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

About Securly

Benefits

The Role

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

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

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

What It Means to Be L5 at Securly

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

About Securly

Benefits

Overview:

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

Purpose of the role:

The Platform Operations Engineer is responsible for maintaining the security, stability, and performance of Pico’s internal infrastructure and client trading platforms. The role focuses on supporting mission‑critical trading environments, including the investigation and resolution of operating system, platform, and hardware issues that impact client trading services.

This is a customer‑facing role with direct responsibility for delivering high‑quality operational support to Pico’s trading clients. The successful candidate will work closely with clients, internal teams, vendors, and exchanges to ensure trading systems remain reliable, secure, and performant, meeting agreed service levels and operational expectations.

The ideal candidate has a strong technical foundation in Red Hat Enterprise Linux and experience supporting platforms running on virtualisation technologies such as KVM, VMware ESXi, and Hyper‑V. Hands‑on experience with HPE and Dell server hardware, along with automation and scripting using Bash and Ansible, is essential. Familiarity with ITIL (or equivalent) operational frameworks, including incident, problem, and change management, is required to support controlled, auditable operations in a financial services environment. The role also requires supporting Microsoft Windows Server and Active Directory across client environments.

Responsibilities and duties (including but not limited to)

• Provide operational support across Pico’s infrastructure and platform services, including client trading environments, to ensure systems run at optimal performance and consistently meet defined KPIs and Service Level Agreements (SLAs).
• Ensure the stability, availability, and reliability of platform services in a 24x7 production trading environment.
• Act as second-line support, performing technical investigation, triage, and expert-level troubleshooting of platform and client systems.
• Take end-to-end ownership of incidents and service requests logged in the Pico ticketing system through to resolution.
• Perform root cause analysis of platform incidents and contribute to permanent fixes and preventative improvements.
• Deliver a high standard of operational service and maintain strong relationships with internal teams and external customers.
• Interface with vendors, market participants, and financial exchanges to support platform operations and resolve technical issues.
• Remotely coordinate and validate on-site hardware installations, replacements, and repairs.
• Execute preventative maintenance activities, including server operating system patching and firmware upgrades, to maintain platform security and reliability.
• Develop and maintain automation using scripting and configuration management tools (e.g. Ansible) to support platform deployment, configuration, and ongoing maintenance.
• Create and maintain platform documentation, including system diagrams, operational runbooks, flowcharts, and scheduled operational reports.
• Conduct daily platform health checks, capacity reviews, and infrastructure monitoring, reporting any risks or anomalies.
• Contribute to continuous improvement of platform operations processes, tooling, and reliability.

Education, Skills, and background (incl. Education and Experience Requirements)

• Degree in Computer Science, Information Systems, or a related discipline, or equivalent practical experience.
• 4–8 years of experience working in a production operational environment supporting critical infrastructure.
• A minimum of 4 years’ hands‑on experience supporting physical and virtual server platforms.
• Experience supporting platforms within the financial services or trading industry is strongly preferred.
• Proven experience administering Linux and Microsoft Windows operating systems.
• Hands‑on experience with systems management tools, including Red Hat Satellite.
• Experience configuring, maintaining, and operating server and infrastructure monitoring solutions.
• Strong experience working with bare‑metal server deployments at scale.
• Practical experience with HPE and Dell server hardware and associated management tools.
• Proficient in scripting and automation using Bash, Ansible, and Python.
• Solid understanding of server performance and capacity monitoring, including CPU utilisation, memory contention, disk usage, and network I/O.
• Strong server‑side networking knowledge, including IP routing, TCP/IP, multicast, DNS, NTP, and PTP.
• Excellent communication and customer‑facing skills, with the ability to work directly with clients in a high‑pressure operational environment.

Working Arrangements 

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

IMPORTANT DATA PRIVACY INFORMATION: 

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

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

Purpose of the role:

The Platform Operations Engineer is responsible for maintaining the security, stability, and performance of Pico’s internal infrastructure and client trading platforms. The role focuses on supporting mission‑critical trading environments, including the investigation and resolution of operating system, platform, and hardware issues that impact client trading services.

This is a customer‑facing role with direct responsibility for delivering high‑quality operational support to Pico’s trading clients. The successful candidate will work closely with clients, internal teams, vendors, and exchanges to ensure trading systems remain reliable, secure, and performant, meeting agreed service levels and operational expectations.

The ideal candidate has a strong technical foundation in Red Hat Enterprise Linux and experience supporting platforms running on virtualisation technologies such as KVM, VMware ESXi, and Hyper‑V. Hands‑on experience with HPE and Dell server hardware, along with automation and scripting using Bash and Ansible, is essential. Familiarity with ITIL (or equivalent) operational frameworks, including incident, problem, and change management, is required to support controlled, auditable operations in a financial services environment. The role also requires supporting Microsoft Windows Server and Active Directory across client environments.

Responsibilities and duties (including but not limited to)

• Provide operational support across Pico’s infrastructure and platform services, including client trading environments, to ensure systems run at optimal performance and consistently meet defined KPIs and Service Level Agreements (SLAs).
• Ensure the stability, availability, and reliability of platform services in a 24x7 production trading environment.
• Act as second-line support, performing technical investigation, triage, and expert-level troubleshooting of platform and client systems.
• Take end-to-end ownership of incidents and service requests logged in the Pico ticketing system through to resolution.
• Perform root cause analysis of platform incidents and contribute to permanent fixes and preventative improvements.
• Deliver a high standard of operational service and maintain strong relationships with internal teams and external customers.
• Interface with vendors, market participants, and financial exchanges to support platform operations and resolve technical issues.
• Remotely coordinate and validate on-site hardware installations, replacements, and repairs.
• Execute preventative maintenance activities, including server operating system patching and firmware upgrades, to maintain platform security and reliability.
• Develop and maintain automation using scripting and configuration management tools (e.g. Ansible) to support platform deployment, configuration, and ongoing maintenance.
• Create and maintain platform documentation, including system diagrams, operational runbooks, flowcharts, and scheduled operational reports.
• Conduct daily platform health checks, capacity reviews, and infrastructure monitoring, reporting any risks or anomalies.
• Contribute to continuous improvement of platform operations processes, tooling, and reliability.

Education, Skills, and background (incl. Education and Experience Requirements)

• Degree in Computer Science, Information Systems, or a related discipline, or equivalent practical experience.
• 4–8 years of experience working in a production operational environment supporting critical infrastructure.
• A minimum of 4 years’ hands‑on experience supporting physical and virtual server platforms.
• Experience supporting platforms within the financial services or trading industry is strongly preferred.
• Proven experience administering Linux and Microsoft Windows operating systems.
• Hands‑on experience with systems management tools, including Red Hat Satellite.
• Experience configuring, maintaining, and operating server and infrastructure monitoring solutions.
• Strong experience working with bare‑metal server deployments at scale.
• Practical experience with HPE and Dell server hardware and associated management tools.
• Proficient in scripting and automation using Bash, Ansible, and Python.
• Solid understanding of server performance and capacity monitoring, including CPU utilisation, memory contention, disk usage, and network I/O.
• Strong server‑side networking knowledge, including IP routing, TCP/IP, multicast, DNS, NTP, and PTP.
• Excellent communication and customer‑facing skills, with the ability to work directly with clients in a high‑pressure operational environment.

• Working days
• Weds-Sun
• Working Hours
• 9hr shift, including 1 hr break, within 07:00 - 17:00 SGT coverage window (04:30 IST - 14:30 IST)
• 07:00 SGT start during US and UK daylight savings
• 08:00 SGT start during US and UK standard time

Working Arrangements 

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

IMPORTANT DATA PRIVACY INFORMATION: 

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

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

Purpose of the role:

The Platform Operations Engineer is responsible for maintaining the security, stability, and performance of Pico’s internal infrastructure and client trading platforms. The role focuses on supporting mission‑critical trading environments, including the investigation and resolution of operating system, platform, and hardware issues that impact client trading services.

This is a customer‑facing role with direct responsibility for delivering high‑quality operational support to Pico’s trading clients. The successful candidate will work closely with clients, internal teams, vendors, and exchanges to ensure trading systems remain reliable, secure, and performant, meeting agreed service levels and operational expectations.

The ideal candidate has a strong technical foundation in Red Hat Enterprise Linux and experience supporting platforms running on virtualisation technologies such as KVM, VMware ESXi, and Hyper‑V. Hands‑on experience with HPE and Dell server hardware, along with automation and scripting using Bash and Ansible, is essential. Familiarity with ITIL (or equivalent) operational frameworks, including incident, problem, and change management, is required to support controlled, auditable operations in a financial services environment. The role also requires supporting Microsoft Windows Server and Active Directory across client environments.

Responsibilities and duties (including but not limited to)

• Provide operational support across Pico’s infrastructure and platform services, including client trading environments, to ensure systems run at optimal performance and consistently meet defined KPIs and Service Level Agreements (SLAs).
• Ensure the stability, availability, and reliability of platform services in a 24x7 production trading environment.
• Act as second-line support, performing technical investigation, triage, and expert-level troubleshooting of platform and client systems.
• Take end-to-end ownership of incidents and service requests logged in the Pico ticketing system through to resolution.
• Perform root cause analysis of platform incidents and contribute to permanent fixes and preventative improvements.
• Deliver a high standard of operational service and maintain strong relationships with internal teams and external customers.
• Interface with vendors, market participants, and financial exchanges to support platform operations and resolve technical issues.
• Remotely coordinate and validate on-site hardware installations, replacements, and repairs.
• Execute preventative maintenance activities, including server operating system patching and firmware upgrades, to maintain platform security and reliability.
• Develop and maintain automation using scripting and configuration management tools (e.g. Ansible) to support platform deployment, configuration, and ongoing maintenance.
• Create and maintain platform documentation, including system diagrams, operational runbooks, flowcharts, and scheduled operational reports.
• Conduct daily platform health checks, capacity reviews, and infrastructure monitoring, reporting any risks or anomalies.
• Contribute to continuous improvement of platform operations processes, tooling, and reliability.

Education, Skills, and background (incl. Education and Experience Requirements)

• Degree in Computer Science, Information Systems, or a related discipline, or equivalent practical experience.
• 4–8 years of experience working in a production operational environment supporting critical infrastructure.
• A minimum of 4 years’ hands‑on experience supporting physical and virtual server platforms.
• Experience supporting platforms within the financial services or trading industry is strongly preferred.
• Proven experience administering Linux and Microsoft Windows operating systems.
• Hands‑on experience with systems management tools, including Red Hat Satellite.
• Experience configuring, maintaining, and operating server and infrastructure monitoring solutions.
• Strong experience working with bare‑metal server deployments at scale.
• Practical experience with HPE and Dell server hardware and associated management tools.
• Proficient in scripting and automation using Bash, Ansible, and Python.
• Solid understanding of server performance and capacity monitoring, including CPU utilisation, memory contention, disk usage, and network I/O.
• Strong server‑side networking knowledge, including IP routing, TCP/IP, multicast, DNS, NTP, and PTP.
• Excellent communication and customer‑facing skills, with the ability to work directly with clients in a high‑pressure operational environment.

Working Arrangements 

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

IMPORTANT DATA PRIVACY INFORMATION: 

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

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

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

Overview of Role

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

Responsibilities

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

Qualifications

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

Challenges

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

As a Software Engineer:

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

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

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

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

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

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

● Do performance tuning and improvements in large scale distributed systems

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

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

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

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

● Experience with multi-threading and concurrency programming

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

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

● Knowledge of Test Driven Development

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

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

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

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

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

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

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

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

As a Software Engineer, good to have

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

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

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

Challenges

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

As a Software Engineer:

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

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

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

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

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

● Do performance tuning and improvements in large scale distributed systems

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

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

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

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

● Experience with multi-threading and concurrency programming

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

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

● Knowledge of Test Driven Development

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

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

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

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

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

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

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

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

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

As a Software Engineer, good to have

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

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

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

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

Senior Cybersecurity Engineer

at Convera

Pune- WFH

About the role:

As part of the Security Operations team, you’ll be working with fellow team members and other engineering groups to implement new security solutions and ensure that our current processes and tools are running smoothly. This is a hands-on role that will help shape and develop our new cloud infrastructure security monitoring. This position reports into the Director of Security Operations who reports into the CISO.

What we’re really looking for:

We’re looking for a motivated security professional who enjoys building systems, integrating toolsets and AWS cloud security best practices. As mentioned, this is a hands-on role which will be crucial to building out and maturing our SIEM solutions.

Job Responsibilities

• Responsible for the implementation, administration, and maintenance of the SIEM platform.
• Ensure data quality and identify any gaps in the security event collection.
• Detect and respond to company-wise security incidents when needed.
• Monitor SIEM health, monitor usage, and data growth.

Desired background

• 5+ years of experience in a security operational or analyst role preferably in a cloud native or hybrid cloud organization.
• Strong background in cybersecurity, particularly in Security Information and Event Management (SIEM) systems related roles.
• Detailed functional knowledge in developing security playbooks and implementing for orchestration, automation, and response.
• Familiarity with SumoLogic is a plus but not a requirement.
• High level software development skills: basic scripting, functional programming experience, familiarity with code repositories and deploy pipelines, etc.

About Convera
Convera is the largest non-bank B2B cross-border payments company in the world. Formerly Western Union Business Solutions, we leverage decades of industry expertise and technology-led payment solutions to deliver smarter money movements to our customers – helping them capture more value with every transaction. Convera serves more than 30,000 customers ranging from small business owners to enterprise treasurers to educational institutions to financial institutions to law firms to NGOs.
Our teams care deeply about the value we bring to our customers which makes Convera a rewarding place to work. This is an exciting time for our organization as we build our team with growth-minded, results-oriented people who are looking to move fast in an innovative environment. 
As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view. We want to work with the best people and ensure we foster a culture of inclusion and belonging.

We offer an abundance of competitive perks and benefits including: 
•    Competitive salary
•    Opportunity to earn an annual bonus. 
•    Great career growth and development opportunities in a global organization
•    A flexible approach to work

There are plenty of amazing opportunities at Convera for talented, creative problem solvers who never settle for good enough and are looking to transform Business to Business payments. Apply now if you’re ready to unleash your potential.

#LI-AK1

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 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.