Role

Senior Technical Marketing Engineer – Zscaler Private Access (ZPA).We are seeking a highly qualified Senior Technical Marketing Engineer to join our team. This is a hybrid position based in Bengaluru, reporting directly to the Director of Product Management within the Product Management organization.

As a Technical Marketing Engineer operating within the Product Management function, you will serve as the essential technical liaison between engineering innovation and market execution. Your responsibilities will include translating complex product capabilities into compelling technical content—including comprehensive whitepapers, detailed architectural guides, and high-impact demonstrations—while ensuring our field teams possess the necessary technical proof points to secure competitive victories.

Key Responsibilities

• Serve as the ZPA product specialist across connectors, segmentation, user-to-app policy architecture, and Zero Trust Exchange integration.
• Handle field Product Engagement Requests and represent ZPA in deep-dives, architecture reviews, and proof-of-value engagements.
• Enable the field via training, deal-specific technical consultation, and scalable sessions to build Sales Engineer competency.
• Support critical deal closures with technical proof points, competitive positioning, and hands-on help during evaluation cycles.
• Improve deployment and adoption by finding gaps, driving fixes, and translating field feedback into action with cross-functional teams.
• Own ZPA collateral and demos: maintain the library, build high-impact demos, create Day 2 operations content, and deliver competitive analysis.

Who You Are (Success Profile)

• Deeply committed to the mission, acts with integrity, and drives outcomes with a bias for action.
• Seeks challenges, enjoys finding solutions, and tackles complex issues for maximum impact.
• Prioritizes team success and builds trust through constructive challenge, directness, and clarity.
• Brings a growth mindset, invests in self-development, and actively seeks feedback to improve.
• Balances speed and quality in a high-growth environment with a strong focus on execution.

What We’re Looking for (Minimum Qualifications)

• 5–7 years in technical roles such as Systems Engineering, Technical Marketing, Solutions Architecture, Technical Account Management, or Product Management.
• Deep understanding of ZTNA architectures, including application connectors, identity-aware proxying, micro-segmentation, and least-privilege access.
• Hands-on experience with SASE/SSE platforms, VPNs, SD-WAN, and network security products, and the ability to explain how ZPA replaces legacy approaches.
• Proven success creating technical collateral (whitepapers, deployment guides, competitive analyses, technical blog posts) used by field teams, and translating complex architectures into clear content.
• Experience delivering live product demos and technical training for internal sales teams, channel partners, and customers.

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on experience with Zscaler Private Access or comparable ZTNA platforms.
• Experience with AWS/Azure/GCP, VPC/VNet, Okta/Azure AD (Entra ID), endpoint management, and Docker/Kubernetes with modern app architectures.
• Knowledge Python/Bash/JavaScript skills for prototypes/PoCs/tooling, plus GenAI + prompt engineering for content, research, and testing.

Role 

We are looking for a Senior Sales Engineer - Public Sector to join our SE India team. This is a hybrid role based in Gurgaon, reporting to the Senior Manager, Sales Engineering. 

You will join a global group of professionals passionate about driving a secure, cloud-enabled digital future as a leader in cloud security. You will demonstrate the power and agility of cloud transformation by aligning with regional leadership and engineering to deliver strategic solutions that solve complex customer challenges.

What you’ll do (Role Expectations)

• Provide technical thought leadership and advice to enterprise customers on how to transform their digital experience
• Take total ownership of the technical sale and associated processes
• Identify and qualify technical opportunities while developing and maintaining trusted advisor relationships with key customer stakeholders
• Deliver high-impact sales pitches, technical demonstrations, and whiteboard presentations to ensure successful deployments

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s degree or equivalent combination of education and experience
• Extensive experience as a Sales Engineer or systems integrator within the enterprise space
• Hands-on expertise in installing, configuring, and managing routers, switches, and network security technologies

What Will Make You Stand Out (Preferred Qualifications)

• Advanced experience with GPO, Active Directory/LDAP, and SSO/SAML
• Deep technical knowledge of HTTP and web security technologies, including proxies, caches, and firewalls
• Proven ability to install, configure, and manage macOS, UNIX/Linux, and Windows systems in complex environments

#LI-Hybrid

#LI-SP4

ABOUT THE TEAM:

The Information Technology (IT) team is the backbone of our organization, ensuring the seamless and secure operation of our technology. Our mission is to empower employees by providing reliable and innovative IT solutions that enable them to achieve their goals efficiently. We are dedicated to maintaining a robust and secure infrastructure, proactively addressing technical challenges, and offering exceptional support to foster a digitally driven and collaborative work environment.

The IT team plays a crucial role in managing our technology infrastructure, from resolving hardware and software issues to overseeing application updates and integrations, and monitoring SaaS applications, web traffic, and access to ensure a secure environment. We are committed to minimizing disruptions and ensuring uninterrupted access to essential resources through proactive support and timely resolutions

ABOUT THE ROLE: 

As IT Workplace Operations Engineer, you will play a key role in ensuring a seamless, secure, and scalable IT experience across our global hybrid workforce. This is a hands-on technical role with growing ownership - you'll move beyond day-to-day support to take responsibility for IT systems, processes, and service quality across your area.

Working closely with Workplace, Security, People Ops and Engineering teams, you'll contribute to both the operational running of IT and the continuous improvement of how we deliver it. This is the right role for someone who has solid IT foundations and is ready to take the next step - owning workstreams, driving small-scale improvements, and becoming a trusted technical resource for the team and the wider business.

• Support and maintain IT operations for in-office and remote teams, ensuring consistent, high-quality service delivery with minimal disruption
• Take ownership of endpoint and device management across Intune, Jamf, MDM and SSO platforms, ensuring availability, performance and compliance
• Manage IT asset lifecycle end-to-end - procurement coordination, provisioning, lifecycle tracking, audit support and secure decommissioning
• Ensure a smooth employee experience by owning onboarding and offboarding device workflows, working closely with People Ops and Security
• Manage and maintain office AV equipment and conference room technology, ensuring reliability for day-to-day and event use
• Identify and implement process improvements and lightweight automation opportunities to reduce manual work and improve support efficiency
• Contribute to the documentation of IT processes, runbooks and workflows, helping move the team from reactive to proactive operations
• Support compliance with company security policies and industry standards, contributing to audits and risk assessments as needed
• Collaborate with cross-functional teams including Engineering, Security and Workplace on IT initiatives and policy alignment
• Act as a go-to technical resource for junior colleagues, providing guidance, knowledge-sharing and hands-on support to raise the team's overall capability
• Participate in the on-call rotation to provide after-hours technical support when required

WHAT WE ARE LOOKING FOR: 

• 3-5 years of experience in IT operations or workplace support, with clear progression beyond helpdesk into systems ownership, hands-on expertise with modern IT tools including MS Intune, Jamf, Meraki Wireless Networks, and Okta.
• Well-versed in ITIL principles and fluent in ITSM platforms such as Jira or ServiceNow across incident, request and change management
• Confident troubleshooting Windows and Mac devices across hardware, software and connectivity issues
• Solid working knowledge of G-Suite and Microsoft 365 administration and support
• Competent in AV and conference room technology management, keeping environments reliable for everyday use and events
• Beginning to explore automation, scripting or Infrastructure as Code - GitHub or Terraform exposure is a plus
• Strong documentation habits - able to write clear runbooks, process guides and handover notes
• A natural go-to for junior team members - approachable, knowledgeable, and invested in bringing others along
• Effective communicator who can engage confidently with both technical peers and non-technical stakeholders
• Comfortable working in a fast-paced, high-growth environment where priorities shift and ownership is encouraged

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

As a SysOps engineer within .Monks, you will be responsible for the maintenance, configuration, and ongoing operation of computer systems and cloud platforms. Working as part of the SysOps IT team, your observations and input will help drive the evolution of tech administration within our company as we look to establish stronger policies, more security, better organization, and enhanced efficiency. As the IT, and especially AI needs of the company continue to grow, you will have the opportunity to learn new technologies and propose projects. Automating IT tasks will be a focus. 

This role is well-suited for those who are self-sufficient, dependable, looking for new challenges, and are interested in expanding their skillset.

Responsibilities will include:

• Monitoring & Optimization: Use system-agnostic monitoring tools to monitor system health and performance metrics, proactively identifying and resolving issues to prevent downtime.
• Automation: Use scripting languages (e.g., Python, Bash) and Infrastructure as Code (IaC) tools to automate operational tasks and deployment processes.
• Security & Compliance: Implement security measures and best practices to protect data and systems, ensuring compliance with federal or industry standards.
• Maintenance & Support: Handle routine system maintenance, software upgrades, kernel patching, and incident management.
• Disaster Recovery: Manage backups, recovery tests, and business continuity plans to maintain high availability.
• Collaboration: Work closely with InfoSec, Networking and general IT support teams.

Qualifications/Background Sought: 

• Typically 4-6+ years in systems administration or a similar operational role.
• Experience running audits/reports and presenting findings.
• Familiarity with at least one scripting language
• Experience in admin consoles of modern platforms; ideal technical knowledge includes administration experience with some of the following:
• Cloud-Based Business Platforms: Atlassian, Google Workspace, Slack Enterprise Grid, Microsoft365/Azure.
• OS: Windows server, Linux
• Networking Hardware: Fortinet, Ubiquiti
• Identity & Endpoint Management with OneLogin, Jamf, Intune, and A1.
• Bonus points for experience with automation or APIs
• Flexibility in working hours
• Exhibits patience and resilience under pressure
• Detail-oriented and strong organizational skills
• Strong verbal & written communication skills
• Self-sufficient, proactive, and ready for a challenge
• Strong problem-solving and critical thinking abilities.
• Ability to work under pressure and adapt quickly to new technologies.

#LI-PP1

About Manifest Global

Manifest Global is building the infrastructure for global human capital mobility — connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counseling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counseling across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $80M raised. Still early.

About the Role

Cialfo's University Data Engineering team is the data backbone of everything students see on the platform — university profiles, course listings, entry requirements, fees, deadlines, rankings, and scholarship information across 544 partner universities and thousands more. Every piece of that data has to be collected, validated, and kept current.

We are hiring a Data Automation Engineer to own the automation function end-to-end — building the scrapers, AI-powered workflows, and data pipelines that replace manual data collection with reliable, production-grade automation. You will report to Engineering and work alongside the University Data Engineering team as the sole owner of the technical stack.

What makes this role different from a standard data engineering role: You will not be maintaining someone else's pipelines. You are building the function from scratch. The team has deep domain knowledge — they know what correct university data looks like, and they will QC your output. You bring the technical capability they do not have. Together, you replace hours of manual work per week. Your work ships directly to a product used by hundreds of thousands of students making university decisions.

What You Will Build

Your first 90 days have a defined backlog. The first priority is a notification classification pipeline to handle 450 alerts per week, replacing 6 hours of daily manual signal vs. noise triage across the team. Closely behind that is a signal addressal workflow covering 150 signals per week, replacing 6 hours of daily core updates — research, format, verify, push. You will also build an automated quality audit agent that runs nightly across all recent updates, replacing 6–7 hours of daily manual data accuracy checks. Beyond that, you will own rankings and key stats ingestion across 4,441 universities, replacing the full manual collection cycle for QS, THE, and US News rankings, as well as entry requirements extraction from dynamic JavaScript-rendered pages across 150+ universities.

Beyond the initial backlog, you own the full 25-task automation portfolio — maintaining what is already built, extending scrapers when source sites change structure, and designing new automations as the team's data commitments grow.

What You Own

• You own the complete automation stack — N8N workflows, Python scripts, LLM-powered extraction pipelines, and web scrapers. You build it, you maintain it, you fix it when it breaks.
• Production reliability is yours. When a scraper fails silently because a university website restructured, you diagnose and fix it without waiting to be told. You have monitoring in place so you know before the team does.
• AI output accuracy is your responsibility. The notification classifier, the quality audit agent, and any LLM-powered pipeline you build must meet defined accuracy gates. You own the test sets, the iteration, and the decision to go live.
• You make the data pipeline architecture decisions — N8N vs. Python, Firecrawl vs. Playwright, Claude API vs. rule-based extraction. You explain your reasoning; you do not wait for someone to decide for you.
• Working within Engineering, you will own direct API write access to Core, Contentful, and Explore for approved data types, removing the manual ticket loop for routine data pushes.

What You Bring

Non-Negotiable

• Python. Production-grade scripts you have owned — not scripts you contributed to. You wrote them, you ran them, you fixed them when they broke in production.
• REST API integration. You have built and maintained API clients against real production systems with rate limits, auth, pagination, and error handling. Not tutorial projects.
• Web scraping. Dynamic pages, JavaScript-rendered content, sites that block scrapers. You have handled all of these. You have rebuilt scrapers when source sites changed structure.
• Independent ownership. You have owned an automation or data pipeline without a senior engineer making the architecture decisions above you. You have been the person others came to when something broke.

Strong Preference

We have a strong preference for candidates with LLM API usage in production — you have shipped something where Claude or OpenAI was doing real work (classification, extraction, structured output) and you have dealt with the accuracy and reliability problems that come with it. We are also looking for 4–6 years of relevant experience, since independent ownership in messy production environments takes time to develop. Familiarity with N8N or equivalent workflow automation is a plus — you should be able to read, edit, and build N8N workflows without a tutorial, though it does not need to be your primary tool. Experience with unstructured, inconsistent source data — PDFs, scraped HTML, university websites with no consistency across 500 sources — is highly relevant.

Nice to Have

EdTech or university data domain knowledge is a plus, though the team teaches this faster than any candidate will self-learn it. SQL is useful for validation queries but is not required on day one.

What Good Looks Like at 90 Days

The notification classification pipeline is live and saving the team 20+ hours per week. You shipped it, it is in production, it has monitoring. You have diagnosed and fixed at least one automation that broke in production without asking Engineering for help. The team comes to you with data collection problems, and you come back with working solutions — not questions about how to approach them. You have made at least one tooling decision that changed how the team operates, and you can explain clearly why you made it. University Data Engineering Leads trust your QC gates without checking every output. Your accuracy track record has earned that.

Why This Role, Why Now

Cialfo serves hundreds of thousands of students making one of the most important decisions of their lives. The quality of the data on the platform directly affects what universities they see, whether application deadlines are accurate, and whether the fees they are planning around are correct.

The team has deep domain knowledge and operational discipline. What it does not have is the technical capability to automate the work that should not be manual. You are that capability — not a support function, but the reason the team can operate at a scale it currently cannot.

The work is real production automation problems: scrapers covering 4,441 universities, AI classifiers handling 450 alerts per week, quality agents running nightly across every recent data update. The team knows the domain deeply and will QC your work honestly. When something is wrong, you will hear it — that is a feature, not a bug. Every automation you ship converts manual hours into expanded data coverage — more universities, more countries, more students.

About the Role

At Veeam, Service Provider Systems Engineers work closely with sales and help to evangelize, inform, educate and influence service providers of our product offerings to drive growth for their businesses. As a trusted customer advocate / advisor the Service Provider Engineer will help our customers understand the best practices around building and operating a profitable Veeam Cloud Service Provider environment. 

The work will focus on data management for cloud service provider technologies within a service providers data centre with knowledge of Microsoft Azure, Amazon Web Services (AWS) & Google Cloud Platform (GCP) being beneficial. A deep understanding of the service provider market is required, including the personas and motivations of key implementors and decision makers in the space. You will regularly take part in deep-dive education and design exercises.  

In this role, you will leverage your ability to manage changing priorities in a high growth service provider native business unit environment along with a passion for designing and building solutions. You will be responsible for the overall design and mapping of prospect’s business requirements, including working with these clients to assess current state processes and tools, identify Veeam platform solution options, define solution requirements, define and scope/estimate integration requirements, and develop overall architecture points of view. The ability to connect technology with measurable business value is critical to this role. You should also have a demonstrated ability to think strategically about business, products, and technical challenges.  

What You’ll Do

• Work with select Veeam Cloud and Service Provider (VCSP) partners across India & SAARC 
• Work closely with Veeam Cloud-focused Sales Representatives to generate revenue and achieve quarterly/yearly revenue goals 
• Develop high-level SaaS solution designs/architecture for Veeam Cloud and Service Provider partners that span multiple data centres, and include storage, servers, networking, virtualisation, and Veeam availability solutions. 
• Empower and assist Cloud and Service Provider partners while they evaluate Veeam’s product offerings during the pre-sales and Proof Of Concept (POC) process 
• Enable partners to position, present and demo the business value of the Veeam technical solution as a part of their overall offerings 
• Understand the competitive landscape and develop competitive strategies to differentiate Veeam s offerings in collaboration with our Cloud and Service Provider partners 
• Help to ensure that the broader Veeam Sales Organisation understands and can position the value of the solutions provided by our Cloud and Service Provider partners 
• Provide technical sales assistance to the broader Veeam Systems Engineering team as they help customers and prospects leverage offerings from Veeam VCSP partners 
• Provide continual technical nourishment to partner technical organisations about Veeam 
• Create and deliver partner and customer-facing presentations 
• Learn and advocate for Veeam's full suite of products with a fierce commitment to self-education, team & business community knowledge sharing and industry 

What You’ll Bring

• Graduate qualification minimum. A combination of education and experience will be considered. 
• Experienced Pre-Sales Systems Engineer with strong performance working with Service Providers and/or Enterprise Accounts 
• Industry experience of management and or design of core technologies including Storage, Networking, Servers, virtualization (VMware, HyperV and or AHV) and Containerization (Kubernetes experience is desirable) 
• Ability to work independently with limited direction in a fast-paced environment; must be a high-energy, motivated self-starter and be able to learn new technologies quickly 
• Knowledge and experience around the hyperscale platforms (e.g., AWS, AZURE, Google), cloud native applications and dev ops technologies 
• Experience with data protection strategy (e.g., Security, Orchestration and Automation, High Availability, Disaster Recovery, Change Management)  
• Experience with Databases such has MSSQL, PostgreSQL, MySQL and or Oracle is desirable  
• Must have a strong customer service orientation, a strong sense of initiative, a positive attitude, and a collaborative working style 
• Excellent relationship-building, communication (written/verbal), presentation and negotiation skills are required 
• Problem solving, business proficient communication skills with the ability to adapt to ever changing customer, partner requirements or market conditions, with the ability to think strategically and create innovative solutions  
• A passion for self-development, learning and keeping up with the latest technology trends 
• Up to 25% travel 

What You’ll Get 

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

#LI-TR1

About Manifest Global

Manifest Global is building the infrastructure for global human capital mobility - connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counseling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counseling across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $80M raised. Still early.

About This Role

Most frontend roles ask you to ship features. This one asks you to ship features and build the system that lets QEs, PMs, and designers ship them too - safely, independently, with AI as the connective tissue. The Manifest engineering team already runs on AI-assisted workflows. The infrastructure exists in pieces. You'll complete it, maintain it, and raise the ceiling on what each function can do without engineering in the loop. AI is not the tool you use on the side. It is the medium you work in, and the capability you extend to everyone around you.

If you're early in your career and the most interesting question you have right now is "how do I build leverage for a team, not just output for myself?" - keep reading.

What will you own

You own the frontend - not just the code you write, but the system that lets everyone around you contribute to it. That means building features, and it means building the workflows, conventions, and guardrails that let QEs test independently, PMs contribute safely, and designers move from design to something real without waiting in a queue.

The measure of success here is not your personal output. It is how much the team around you can do because of what you built.

Concretely, that looks like:

• The shared AI conventions that keep tooling output consistent across the codebase, whoever is driving
• A skills library that encodes Angular patterns, API contracts, and business logic into workflows anyone on the team can invoke
• Safe zones and guardrails that let non-engineers contribute without creating engineering cleanup
• Design-to-code workflows that unblock designers without dev involvement
• A feedback loop with QEs, PMs, and designers - you hear where things break and you fix them

What success looks like

30 days. You've mapped the frontend architecture and the current cross-functional AI workflows. You know where the codebase is strong, where debt sits, and where QEs, PMs, and designers are getting stuck or falling back on engineering. You have a point of view on what to fix first.

90 days. The skills library has grown. QEs are generating test scaffolds from specs without filing requests to engineering. PMs are making frontend contributions inside defined safe zones with confidence. Designers have a clearer path from Figma to something testable. AI tooling output across the team is more consistent because of conventions you put in place.

6 months. Cross-functional AI workflows are a genuine productivity multiplier - not a set of experiments. Feature cycles are shorter because more of the team can move through more of the process independently. The frontend itself is faster, more reliable, and better structured. Saige and Explore's AI surfaces feel like first-class product experiences, not features the frontend barely holds together. The engineers, QEs, PMs, and designers working in this system are glad you built it the way you did.

About You

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience

Experience

• 1–3 years of hands-on Angular experience - real projects you've built and shipped, even if not at large scale
• Solid TypeScript fundamentals and genuine curiosity about how the browser works as a runtime
• Active fluency with AI-assisted coding tools in your day-to-day work - you use them seriously, not occasionally
• The instinct to think about how your work affects the people around you, not just the ticket in front of you
• A communicator who can hold a useful conversation with a designer, a QE, or a PM - and follow through without being chased

Strong nice-to-haves

• Any exposure to AI-facing UIs - streaming output, recommendation surfaces, or agent interfaces - even in side projects
• Experience or genuine interest in developer experience: documentation, shared patterns, making codebases easier for others to work in
• Early signs of cross-functional thinking - instances where you made something easier for a non-engineer, even informally

Why Manifest

We're building the infrastructure for global human capital mobility - the rails that move students, schools, universities, and employers across 50+ countries. Cialfo is in 2,000+ schools. Explore is trusted by 1,000+ universities. BridgeU runs across the UK, Europe, and the Middle East. Kaaiser has guided students across India and Southeast Asia since 1997.

The opportunity is real. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that.

$80M raised from Tiger Global, SIG, and Square Peg. Still early.

The team has already built the infrastructure for AI-native engineering - shared conventions, a live skills library, AI-assisted workflows across engineering, QE, product, and design. Saige is in production. Explore's AI capabilities are in production. This isn't an aspiration we're hiring you to bring to life. It's an operating system we're hiring you to extend, scale, and make permanent.

About Manifest Global

Manifest Global is building the infrastructure for global human capital mobility - connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counseling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counseling across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $80M raised. Still early.

About This Role

Most backend roles ask you to ship endpoints and migrations. This one asks you to ship those and extend the platform that lets the rest of the engineering team - and the AI agents working alongside them - ship them too. That platform already exists. Shared conventions, the skills library, safe contribution zones, spec-to-endpoint workflows, AI-agent infrastructure powering Saige and Explore - all live, all in production, all being used today. You'll own its next chapter: deepening it, scaling it, and raising the ceiling on what each engineer can do without re-deriving the same patterns.

If the most interesting question in your career right now is "how do I build leverage for a team, not just output for myself?" - keep reading.

What will you own

You own the backend - not just the code you write, but the system that lets everyone around you contribute to it. That means shipping production Rails services, designing APIs other teams build against, and owning the data layer end to end. And it means extending the workflows, conventions, and guardrails that let QEs generate test scaffolds independently, PMs and analysts ship config and feature-flag changes safely, and AI agents operate inside the codebase reliably.

The measure of success here is not your personal output. It is how much the team around you can do because of what you built.

Concretely, that looks like:

• Shared AI conventions that keep tooling output consistent across the codebase - for backend code generation, schema changes, and migrations - whoever or whatever is driving
• A backend skills library that encodes Rails patterns, service contracts, domain models, and query patterns into workflows anyone on the team can invoke
• Safe zones and guardrails that let PMs and analysts ship config changes, feature flags, and scoped data changes without creating engineering cleanup
• Spec-to-endpoint and ticket-to-migration workflows that compress the path from intent to working backend code
• AI-agent backend infrastructure - runtimes, tool-calling layers, retrieval pipelines, evals - that powers Saige, Explore, and what comes next, and scales with each new feature
• A feedback loop with engineers, QEs, and PMs building against the platform every day - you hear where things break and you fix them

What success looks like

• 30 days. You've mapped the existing platform, the conventions, the skills library, and the AI workflows the team is already using. You know where they're sharpest, where they're starting to bend under load, and where the next wave of investment should go.
• 90 days. You've shipped meaningful additions to the skills library, tightened conventions where they were drifting, and closed gaps the team has been working around. Other engineers are reaching for your work instead of writing from scratch.
• 6 months. The backend platform is materially more capable than when you joined. Saige and Explore's AI surfaces hold up under heavier production load because of infrastructure decisions you made. PMs and analysts are shipping more inside safe zones, with less cleanup. The engineers and agents building against the platform move faster - and they know why.

About You

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience

Experience

• 5+ years of backend engineering experience on production systems
• Strong production Rails experience - services you've owned and shipped, not contributed to at the margins
• Real fluency with PostgreSQL or MySQL, including query optimization at scale
• Experience designing and maintaining RESTful APIs that other teams build against
• Daily fluency with AI-assisted coding tools (Claude Code, Cursor, Codex, or similar) - and a track record of making them work consistently for other people, not just yourself
• The instinct to treat a non-engineer touching your platform as a capability to design for, not a risk to manage

Strong nice-to-haves

• Hands-on AI/LLM backend work - retrieval pipelines, agent runtimes, tool-calling, evals, prompt versioning
• Developer experience or platform engineering background - internal SDKs, shared libraries, opinionated documentation
• Cloud experience (AWS, Azure, GCP) and serious testing discipline (RSpec, Capybara)
• Evidence of cross-functional thinking - something you built that made a non-engineer's life easier

Why Manifest

We're building the infrastructure for global human capital mobility - the rails that move students, schools, universities, and employers across 50+ countries. Cialfo is in 2,000+ schools. Explore is trusted by 1,000+ universities. BridgeU runs across the UK, Europe, and the Middle East. Kaaiser has guided students across India and Southeast Asia since 1997.

The opportunity is real. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that.

$80M raised from Tiger Global, SIG, and Square Peg. Still early.

The team has already built the infrastructure for AI-native engineering - shared conventions, a live skills library, AI-assisted workflows across engineering, QE, product, and design. Saige is in production. Explore's AI capabilities are in production. This isn't an aspiration we're hiring you to bring to life. It's an operating system we're hiring you to extend, scale, and make permanent.

About Manifest Global

Manifest Global is building the infrastructure for global human capital mobility -connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counseling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counseling across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $80M raised. Still early.

About This Role

Manifest Global operates four brands across 50+ countries, generating data across thousands of schools, hundreds of thousands of students, and 1,000+ university partners. Counselor behaviour, student application journeys, university conversion rates, placement outcomes, attribution revenue - it's all there. The data exists. The question is whether the infrastructure around it is good enough to make it useful.

Right now, the data platform works. Pipelines run, the warehouse holds data, the BI layer surfaces reports. But Manifest is growing - new brands, new markets, new activation use cases - and the infrastructure needs to scale with it. There are pipelines that need to be more reliable. Transformation logic that needs to be cleaner. Warehouse design that needs to handle more volume without degrading performance. And an activation layer - reverse ETL, operational analytics, data flowing into the tools the business actually uses - that is still being built.

As a Senior Data Engineer, you will own significant parts of the data platform end to end - ingestion, transformation, warehouse, activation - and you will be one of the people who determines whether Manifest's data infrastructure is a genuine competitive advantage or a persistent constraint. You will work closely with Principal Engineers, Product, and business stakeholders across all four brands, and you will be expected to operate with the ownership and judgment of someone who has built production-grade data systems before.

What makes this role different: Manifest has real data - cross-brand, multi-geography, commercially significant data. The stack is modern: Snowflake, dbt, Hevo, Airtable, Metabase. The problems are real. And when the data infrastructure surfaces the right insight, it changes a decision that affects real students and real institutions.

AI is central to how we build: This isn't just a data engineering role - it is a role where you will actively design and build AI infrastructure that accelerates the team's own development velocity. We use Snowflake Cortex AI with Claude in our daily engineering workflow - for debugging, RCA, query optimisation, and pipeline analysis. We have already cut root cause analysis time. The next step is embedding AI deeper: automated ticket handling, intelligent monitoring, and AI-assisted development tooling that lets the team move faster without sacrificing reliability.

What You Will Own

1. AI Infrastructure for Data Engineering

• Design and build AI-assisted development tooling - LLM-powered code generation for dbt models, SQL transformations, and pipeline scaffolding that dramatically reduces time-to-production for new data assets
• Build intelligent data quality and anomaly detection systems - AI-driven monitoring that learns normal patterns across pipelines and surfaces anomalies before they propagate downstream, replacing manual threshold-based alerting
• Implement AI-augmented data cataloguing and lineage - automated documentation generation, schema understanding, and semantic tagging so engineers spend less time writing docs and more time building
• Develop AI-powered pipeline debugging and root cause analysis - tooling that diagnoses failures, traces impact through the DAG, and proposes fixes rather than requiring engineers to trace failures manually
• Build and maintain the infrastructure that supports AI features - vector stores, embedding pipelines, retrieval layers, and model serving infrastructure that powers AI capabilities across Cialfo, BridgeU, and Explore
• Evaluate and adopt emerging AI developer tools - stay ahead of how AI tooling (Claude, Cortex AI, GitHub Copilot, LLM APIs) can be embedded into the team's workflow to shorten feedback loops and accelerate feature delivery

2. Data Warehouse Design, Cost & Maintenance

• Own significant portions of the Snowflake data warehouse - schema design, performance optimisation, and the integrity of the data models that the rest of the stack depends on
• Apply strong data warehousing methodologies: dimensional modelling, layered transformation logic, clear separation between raw, staged, and served layers
• Design and build cross-brand data primitives - shared, canonical data layers for K12, Student, University, and Application data that work consistently across Cialfo, BridgeU, and Kaaiser. This is active work and a critical foundation for the multi-brand data platform
• Own Snowflake cost optimisation - monitor warehouse spend, identify high-cost queries and sync jobs, right-size warehouse configurations, and drive measurable reductions in monthly compute spend.
• Ensure the warehouse handles increasing data volumes from across all four brands without degrading query performance or downstream reliability

3. ETL/ELT Pipelines, Scheduling & Transformation Logic

• Design, build, and maintain production-grade data pipelines - ingestion via Hevo or similar, transformation via dbt, SQL-based logic that is clean, documented, and maintainable
• Design and manage Snowflake Task DAGs - build and maintain dependency-chained task graphs for ingestion, LLM processing, and sync workflows. Understand how to structure root tasks, child tasks, CRON scheduling, warehouse assignment, and failure isolation so pipelines don't cascade-fail
• Own Airtable as an operational data layer - manage Snowflake-to-Airtable and Airtable-to-Snowflake sync workflows, including the SNOWFLAKE_TO_AIRTABLE_TABLELIST sync config, upsert logic, incremental filters, and sync cost optimisation. Airtable is both a key data source and a reporting destination across brands
• Build and own reverse ETL workflows that activate warehouse data into operational tools - getting the right data into the hands of the teams that need it, not just into dashboards
• Take full ownership of pipeline failures: root cause identification, fix, downstream impact analysis, and prevention - not just resolution

4. Data Quality & Reliability

• Define and enforce data quality standards across datasets you own - automated validations, delta checks, row counts, time-based monitoring
• Build monitoring and alerting that surfaces problems before they reach the business
• Document data lineage, transformation assumptions, and technical decisions so the platform is understandable and maintainable as the team grows

5. BI Platform & Reporting

• Maintain and enhance the existing BI layer - Metabase and build reporting interfaces that non-technical stakeholders can actually use
• Collaborate with Product and Analytics teams to translate business needs into reliable technical solutions
• Communicate clearly across all four brands - be the person who can explain a data problem in business terms and a business problem in data terms

What Success Looks Like

You'll start by building a complete picture of the current state - which pipelines are fragile, where data quality is inconsistent, what the highest-impact improvements look like, and where activation use cases aren't yet built. You will have a point of view on where to move first.

From there, the infrastructure will be measurably more reliable. Pipelines that were breaking will run consistently. Data quality issues will be caught early or prevented entirely. The BI layer will be getting used - not just maintained.

Over time, the data platform will be something the business genuinely relies on - fast enough to support the pace of growth, reliable enough that data consumers trust what they are looking at, and built in a way that the next engineer who joins can understand and extend without starting from scratch.

About You

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience

Experience

• 5+ years building and maintaining production-grade data pipelines and data warehouses - not prototypes, but systems that real business decisions depend on
• Strong experience architecting and implementing large-scale business intelligence solutions
• Strong experience in data warehouse design and advanced SQL
• Hands-on experience with the modern data stack: Snowflake (or equivalent cloud warehouse), dbt, Hevo or Airbyte or similar
• Advanced SQL proficiency: CTEs, window functions, QUALIFY, query optimisation, and understanding the difference between SQL that works and SQL that scales
• Experience with Snowflake-native features: Task DAGs, Dynamic Tables, Snowflake Cortex AI, AI_COMPLETE, warehouse sizing, and query profiling
• Experience with Airtable as an operational data layer - syncing data between Snowflake and Airtable, managing upsert logic, and keeping sync costs low
• Experience owning Snowflake cost monitoring and optimisation - identifying expensive queries, bloated sync jobs, and warehouse over-provisioning
• Experience with user-facing BI tools: Metabase, Looker, or similar
• Experience working in agile, ticket-based workflows (Jira)
• Experience building or integrating AI/LLM tooling into data engineering workflows - specifically Snowflake Cortex AI, or LLM APIs (OpenAI, Anthropic, etc.) for structured data tasks, fuzzy matching, or pipeline automation
• Familiarity with vector databases, embedding pipelines, or retrieval-augmented generation (RAG) infrastructure is a strong plus
• Exposure to MLOps or AI infrastructure patterns - model serving, feature stores, or AI monitoring - is an advantage

Skills & Qualities

• You take ownership of reliability. When a pipeline fails, you don't just fix the immediate problem - you understand why it happened, what it affected downstream, and what needs to change so it doesn't happen again
• You communicate clearly with non-technical stakeholders. You've sat in a requirements conversation with a commercial or product team, understood what they were actually asking for, and built something that answered the real question
• You document your work well enough that someone else could maintain it - data lineage, transformation assumptions, technical decisions
• Comfortable working in a multi-brand, multi-stakeholder environment where data problems span different systems, teams, and geographies
• Strong problem-solving skills and attention to detail
• Ability to hold multiple priorities simultaneously and make good judgments about what to work on first
• You're genuinely excited about AI as a force multiplier for engineering teams - you actively use AI tools in your own workflow and have a point of view on how they can make data teams faster without sacrificing reliability

Why Manifest

We're building the infrastructure for global human capital mobility - the rails that move students, schools, universities, and employers across 50+ countries. Cialfo is in 2,000+ schools. Explore is trusted by 1,000+ universities. BridgeU runs across the UK, Europe, and the Middle East. Kaaiser has guided students across India and Southeast Asia since 1997.

The opportunity is real. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that.

$80M raised from Tiger Global, SIG, and Square Peg. Still early.

The team has already built the infrastructure for AI-native engineering - shared conventions, a live skills library, AI-assisted workflows across engineering, QE, product, and design. Saige is in production. Explore's AI capabilities are in production. This isn't an aspiration we're hiring you to bring to life. It's an operating system we're hiring you to extend, scale, and make permanent.

Rhombus Power India is purposefully transforming the nation’s defense and national security enterprises with Guardian, its Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance.

We are looking for people who are driven by a sense of purpose. In this role, you will serve as a Data Engineer to solve our customer’s uniquely complex problems. We expect you to be a systems-level thinker and a real doer. You will excel in this role if you are hungry to make a difference and are intellectually bold. And we sure hope that you smile when you hear our clients say, “If we can dream it, Rhombus can do it.”

Come join our cross-disciplinary and world-class team of technologists who are working hard every day to deliver game-changing solutions to transform national security.

Location

New Delhi, India

Job Description

Rhombus’ Data Engineers are instrumental in designing and implementing data engineering activities on topical, mission-driven projects that inform our national security agenda. They analyze, build, and maintain our organization’s data infrastructure and processing systems. As a Data Engineer, you’ll perform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. You’ll work cross functionally with other departments and utilize your skills at all stages of the analytics pipeline to create results that drive business values and customer success! You’ll be asked to travel to client sites where you’ll engage and collaborate directly with the client to discuss data pipelines, solutioning, and to ensure a strong client connection.

Responsibilities:

• Develop code using various programming and scripting languages to automate data ingestion and improve data management processes.
• Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation.
• Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management.
• Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts.
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms.
• Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment.
• You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for clients.
• Communicate project status and results to various levels of leadership.

Qualifications:

• A Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 1 year of professional experience, or a Master’s degree with strong academic project experience.
• Experience with 1 or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc.
• Experience with 1 or more of the following relational, noSQL and/or file based storage (e.g. MYSQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, etc.)
• Experience building and maintaining ETL data pipelines
• Experience with software development life cycle including testing, documenting, delivery and support
• Working knowledge of AWS/cloud technologies
• Experience using query optimization as well as data modeling techniques.
• Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)

Personal Qualities:

• Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Engineers help us transmit the enthusiasm we have around the data work to the individuals doing that work.
• Must have strong problem-solving skills and demonstrated excellent oral and written communication skills.
• We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems.
• Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive.

Location

New Delhi, India

Job Description

We are seeking a skilled DevOps Engineer to support our team by integrating security into the development and operational pipeline. In this role, you will design and automate CI/CD pipelines, manage cloud infrastructure through Infrastructure as Code (IaC), and implement security controls to protect critical systems. You will work closely with development teams to enhance automation and ensure compliance with security policies. The ideal candidate will have experience in Linux system management, API security, and cloud security practices, along with the ability to collaborate in Agile environments and respond to security incidents proactively.

Responsibilities

• Implement Infrastructure as Code to manage cloud resources efficiently, ensuring scalability and flexibility for all workloads.
• Integrate security controls into the development lifecycle (DevOps principles) to ensure systems are secure from the outset.
• Implement containerization (e.g., Docker, Kubernetes) for deployment, ensuring security practices are embedded into container lifecycle management.
• Implement DevOps practices in alignment with Scaled Agile Framework (SAFe).
• Integrate security measures throughout the software development pipeline.
• Collaborate with Agile teams and participate in SAFe ceremonies.
• Develop and maintain security automation tools and processes.
• Conduct threat modeling and implement secure coding practices.
• Actively participate in incident response and compliance activities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Security, or a related field.
• Expertise in containerization technologies such as Docker and Kubernetes.
• Solid understanding of cloud platforms like AWS, Azure, or Google Cloud.
• Experience with source control tools like Git and GitLab.
• Strong proficiency in programming languages like Python, Java, or Bash scripting.
• Experience in integrating security into CI/CD pipelines and automating security testing.
• Knowledge of vulnerability management, static code analysis, and security testing tools.
• Strong collaboration and communication skills, with the ability to work in Agile environments.

The Role

The Senior Solutions Engineer at Rhombus Power is an experienced technical leader responsible for driving the architecture and deployment of our most complex AI-powered solutions. You will leverage significant previous solutions engineering experience to solve global business and national security challenges. This role requires a seasoned software generalist capable of operating independently to deliver production-grade code across the full stack (DevOps, frontend, and backend) while serving as a trusted technical advisor to senior customer stakeholders. You will bring effective, real-world solutions to life for our biggest clients.

Responsibilities

• Lead the technical architecture, design, and implementation phases of large-scale AI solution deployments with strategic national security partners.
• Act as the subject matter expert on all Rhombus Power products and technologies, providing deep technical consultation to influence partner strategy and optimize solution effectiveness.
• Be a highly autonomous software generalist, quickly developing, iterating, and deploying high-quality, full-stack code (DevOps, backend systems, and sophisticated frontend UIs) to meet evolving mission needs.
• Mentor and provide technical guidance to junior Solutions Engineers, fostering best practices for coding, integration, and customer engagement.
• Work closely with Rhombus Power Product Managers and Engineering teams to synthesize complex customer requirements and directly influence the development of new products and platform features.
• Lead complex troubleshooting efforts and technical deep dives to ensure system reliability and performance in mission-critical environments.
• Travel to customer sites for deployment leadership, high-level technical consultation, and operational oversight.

Qualifications

• A minimum of 7 years of total professional work experience in software engineering, technical consulting, or a related field.
• Significant previous experience (3+ years preferred) in a Solutions Engineering, Forward Deployed Engineering, or similar customer-embedded role, focusing on complex enterprise software.
• Expert-level command as a software generalist, capable of architecting and implementing solutions across the technology stack (DevOps, backend, and frontend).
• Deep proficiency in modern programming languages, cloud technologies (e.g., AWS, Azure, GCP), data pipelines, and security best practices.
• Experience with Linux/Unix systems and system administration
• Proven ability to lead technical discussions, manage complex stakeholder relationships, and drive major projects to successful completion in fast-paced environments.
• Exceptional problem-solving skills and the capacity to translate high-level mission objectives into concrete, technical solutions.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.

The Role

As a Solutions Engineer at Rhombus Power, you are a hands-on software generalist embedded directly with our national security partners. Much like the pioneering Forward Deployed roles in our industry, you will be the technical expert at the intersection of world-changing problems and impactful AI technology. You will rapidly understand our customers' toughest operational challenges and architect, build, and deploy custom solutions that leverage the Rhombus Power platform. This role is a mix of development and customer support, requiring you to be comfortable writing code (DevOps, frontend, and backend) while acting as the primary technical consultant.

Responsibilities

• Work side-by-side with intelligence partners to deeply understand their missions, data workflows, and requirements for predictive insights.
• Design, develop, and deploy tailored software solutions and applications utilizing the Rhombus Power AI platform.
• Be a true software generalist, writing, testing, and maintaining production-grade code across the full stack—including cloud/DevOps configuration, backend data services, and interactive frontend user interfaces.
• Provide technical consultation to partners, guiding them on the best use of our products to achieve their strategic business and mission goals.
• Serve as the technical liaison, ensuring seamless communication between customer teams and Rhombus Power's core product engineering teams to influence product direction.
• Troubleshoot complex issues in live operational environments, providing expert technical support and guidance to maintain mission continuity.
• Travel to customer sites for deployment, integration, and operational support.

Qualifications

• Professional-level proficiency in English (reading, writing, and verbal communication) required.
• 2–3 years of professional experience in a relevant technical role (e.g., Software Engineering, Technical Consulting, or Data Engineering).
• Demonstrated experience as a software generalist, capable of contributing across the technology stack (DevOps, frontend, and backend).
• Proven experience in a customer-facing capacity, including requirement gathering, solution presentations, or technical support.
• Proficiency in at least one modern programming language (e.g., Python, JavaScript, Go).
• Experience with Linux/Unix systems and system administration a plus
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

The Role: We are seeking a candidate to join our team as a Data Engineer. The Data Engineer will partner with our close-knit team of quantitative researchers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data.

Job responsibilities include, but not limited to the followings:

• Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering.
• Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment.
• Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data.
• Develop insights based on the data and collaborate with the research team to generate signals.
• Developing the utility tools that can further automate the software development, testing and deployment workflow.

 What You’ll Bring:

• Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field.
• Practical experience with and understanding of deep neural networks and other machine learning techniques.
• Demonstrated ability to implement data science pipelines and real-time applications in Python
• 3+ years of relevant experience as a Data Engineer or similar roles.
• Proficiency with python-based tools like Jupyter notebook, coding standards like pep8.
• Experience with LLM/AI for data processing is a plus
• Exceptional analytical & problem-solving abilities, with a strong attention to detail.
• Good command of English
• Excellent software development skills: ability to convert rough overall use-cases to a working codebase.\
• Motivated by a deep curiosity and passion to learn is a plus.
• Past experience as a data scientist or data engineer in finance or investment profile is a plus.
• Experience with Linux/Unix shell and Git is a plus.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE:

Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.

As a Senior Staff Engineer you’ll: 

• Define the architecture for Tide’s agentic platform
• Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability 
• Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
• Set standards for reliability, safety, scalability, and developer experience
• Provide technical leadership across teams and unblock critical decisions
• Implement cost-management and routing logic to optimize LLM spend across different providers
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories 

WHAT WE ARE LOOKING FOR:

• Deep experience building platform or infrastructure systems at scale
• Strong judgement across APIs, distributed systems, data, and cloud-native architecture
• Track record of leading complex cross-team technical problems
• Experience integrating third-party platforms without losing control of core architecture
• Strong understanding of reliability, security, and observability
• Experience with AI platform components is valuable, but not essential
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable 

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE TEAM: 

The Information Technology (IT) team is the backbone of our organization, ensuring the seamless and secure operation of our technology. Our mission is to empower employees by providing reliable and innovative IT solutions that enable them to achieve their goals efficiently. We are dedicated to maintaining a robust and secure infrastructure, proactively addressing technical challenges, and offering exceptional support to foster a digitally driven and collaborative work environment.

The IT team plays a crucial role in managing our technology infrastructure, from resolving hardware and software issues to overseeing application updates and integrations, and monitoring SaaS applications, web traffic, and access to ensure a secure environment. We are committed to minimizing disruptions and ensuring uninterrupted access to essential resources through proactive support and timely resolutions

ABOUT THE ROLE: 

As an IT Workplace Technology Engineer, you will own and evolve our global endpoint, workplace, and corporate network technology ecosystem. This role focuses on delivering a secure, scalable, and seamless employee experience by leading the design, deployment, and optimization of device management, collaboration platforms, endpoint security, and corporate networking.You will work at the intersection of IT, Security, Networking, and Employee Experience, ensuring our digital workplace aligns with Zero Trust principles and modern cloud-first architectures.

As Newtwork Engineer you will

• Lead administration and lifecycle management of MDM platforms including Microsoft Intune and Jamf Pro, supporting macOS, Windows, and mobile environments.
• Own and evolve the corporate network engineering stack, including wired and wireless networks across global office locations.
• Design, deploy, and operate cloud-managed networking solutions such as Cisco Meraki and Juniper Mist, covering access points, switches, firewalls, and SD-WAN.
• Architect and maintain secure office networking (VLANs, routing, switching, QoS, VPNs, and high-availability designs).
• Partner closely with Information Security to implement Zero Trust controls, including Device Trust, Network Trust, NAC, ZTNA, secure Wi-Fi (802.1X), DLP, CASB, and Secure Web Gateways (SWGs).
• Lead office network lifecycle management including new office builds, expansions, refreshes, and decommissioning.
• Monitor, analyze, and optimize network and endpoint performance using telemetry and analytics from Meraki, Mist, and endpoint management platforms.
• Architect and implement automation and configuration management using scripting and Infrastructure as Code (IaC) to scale device, network, and policy management.
• Integrate and manage identity and access workflows with platforms such as Okta, enabling secure authentication and context-aware access.
• Define standards and drive consistency across device provisioning, compliance, patching, onboarding, and offboarding.
• Act as the technical lead for workplace IT and networking initiatives, mentoring team members and serving as the final escalation point for complex endpoint and network issues.

What Makes You a Great Fit ?

• 5+ years of experience in workplace IT, MDM, corporate networking, and SaaS administration, with 2+ years in a technical lead or senior engineer role.
• Deep, hands-on expertise with Microsoft Intune, Jamf Pro, and device management across macOS and Windows.
• Strong experience with enterprise networking platforms such as Cisco Meraki and/or Juniper Mist, including Wi-Fi, switching, firewalls, and SD-WAN.
• Solid foundation in network engineering fundamentals (TCP/IP, DNS, DHCP, routing, switching, wireless design, and troubleshooting).
• Proven experience implementing Zero Trust architectures, including Device Trust, Network Trust, conditional access, and identity-aware networking.
• Comfortable writing and maintaining PowerShell, Bash, or Python scripts, and using IaC frameworks to automate and standardize infrastructure.
• Experience delivering and supporting modern office network environments optimized for cloud-first and hybrid work models.
• Strong cross-functional collaborator who works effectively with Security, HR, Facilities, and IT Operations.
• Thrive in fast-paced environments and enjoy building reliable, scalable systems that improve employee experience and operational efficiency.

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

ABOUT THE ROLE:

The Tide Security Engineering team is made up of three core areas: Product Security, Identity, Threat Detection & Response

Product Security consists of application and cloud security experts. Their mission is to protect the products we build, covering everything from secure design reviews to threat modelling and penetration testing, ensuring security is embedded from the ground up.

Threat Detection & Response (this role!) focuses on protecting the company by building a robust detection and automation platform. We’re proactive in our defence, constantly hacking ourselves to improve our security posture and staying ahead of emerging threats. Our goal is to make Tide resilient against the ever-evolving threat landscape.

Identity is responsible for managing Tide's staff identity platform, ensuring that access to systems and infrastructure is secure, seamless, and aligned with modern security practices. The team uses strategies like zero trust, multi-factor authentication, and granular role-based access controls to safeguard our internal operations.

While each area has its own focus, collaboration is key - it's why we share the same Slack channel and hold our standups together as one cohesive team, ensuring alignment and seamless communication across all security functions.

• Supporting the development and implementation of a strategic vision for threat detection, driving the overall direction and priorities for a team of highly talented engineers.
• Getting hands-on with SIEM systems, including creating custom log-parsers for in-house applications, configuring alert rules, performing log analysis and tuning detections to reduce false positives.
• Creating security automations and services to automate mundane tasks; from data enrichment to automatically removing phishing emails from employee mailboxes. We want you to run with the “anything is possible” mantra.
• Continuously hunting for sophisticated threats across our infrastructure, leveraging threat intelligence and innovative detection techniques to stay ahead of attackers. You'll monitor and respond to threats across AWS, GCP, internal applications, and employee endpoints (Windows, macOS).
• Collaborating with cross-functional teams to develop and implement; business-specific threat detection rules. 
• Responsible for ensuring the quality of detections, and uptime of our detection ecosystem through mature test driven development paired with proactive health monitoring capabilities.
• Identifying opportunities to build or enhance internal tools that streamline threat detection processes, improve data visibility, and increase response efficiency.
• Leading complex incident investigations, coordinating efforts across the security, IT, and engineering teams to ensure rapid and effective containment, remediation, and recovery.
• Support as part of the wider security incident response on-call rota.

WHAT WE ARE LOOKING FOR:

• Strong knowledge with one of the following: Splunk, Scanner, Sentinel, SecOps.
• Strong understanding of modern attack and defence techniques which apply to Cloud (AWS, GCP), SaaS (such as Google Workspace and Okta) and desktop (Windows and macOS) environments.
• Passion for passing on knowledge to fellow colleagues.
• Hands-on attitude and the ability to drive solutions to completion.
• Strong experience in security automation, from writing scripts to creating end-to-end automated workflows. Familiarity with SOAR platforms and automating threat detection and response tasks.
• Excellent spoken and written communication skills.
• Experience with writing automation and scripts; bonus points if you have a repository to show-case your work.

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

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.

About the Role:

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

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

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

Responsibilities

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

Qualifications

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

What We Offer:

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

About the Role:

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

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

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

Responsibilities

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

Qualifications

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

What We Offer:

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

The Role

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

What You’ll Do

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

Who You Are

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

Nice to Have:

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

The Role

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

What You’ll Do

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

Who You Are

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

Nice to Have:

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

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

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 App of the Day.

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

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

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

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

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

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas 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
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: 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 Opportunity:

We are seeking a dynamic and experienced Lead Performance Engineer to join our growing team in Noida. This is a pivotal, permanent role that combines deep, hands-on technical expertise with strategic leadership, client engagement, and mentorship. Reporting to the Principal Performance Engineer, you will be a key figure responsible for safeguarding and enhancing the performance, scalability, and reliability of our clients' critical digital platforms.

We are looking for a multi-faceted professional who brings a blend of deep technical knowledge, strong leadership qualities, and a strategic, consultative mindset. You have extensive, hands-on experience in performance engineering, with a demonstrable history of improving performance for complex, large-scale, highly transactional applications. You are someone who not only solves technical problems but also builds relationships, guides teams, and drives business value.

What you’ll be doing:

Leadership, Strategy & Client Engagement:

• Act as a performance engineering consultant for key clients, building strong relationships with internal and external stakeholders, providing expert guidance, and confidently leading technical discussions to non-technical audiences.
• Champion the value of performance engineering across the business, demonstrating its impact on user experience, conversion, and client ROI.
• Mentor and guide junior to mid-level engineers, fostering a culture of performance excellence and continuous learning.
• Contribute to and implement wider performance engineering strategies, evolving practices, and tooling (e.g., K6, Playwright, APM tools).
• Demonstrate strong AI literacy, with practical experience using generative AI (e.g., LLMs, code-gen tools) as a productivity multiplier for tasks such as script/data generation and analysis. Drive innovation in Performance Monitoring and Testing using AI.
• Collaborate with account and leadership teams to identify opportunities and contribute to commercial proposals.

Hands-on & Release Activities:

• Lead performance testing efforts, including workload modeling, test execution, root cause analysis, and reporting.
• Develop and present clear, actionable reports on key performance metrics (including Core Web Vitals) to both technical and business stakeholders.
• Own the configuration and maintenance of APM and observability tools (e.g., New Relic, DataDog, Dynatrace), including designing meaningful dashboards and robust alerting strategies, as dedicated observability engineers are not always present.
• Act as the performance authority within development teams, providing expertise and oversight, particularly regarding the impact of changes on analytics and sales revenue.
• Drive the agenda for performance optimization, introducing new testing capabilities within allocated projects.

What We Want from You:

Technical Expertise:

• Programming: Strong proficiency in JavaScript/TypeScript is critical for new development in K6; additional languages (e.g., Python, Java) are a plus.
• Performance Tooling: Deep, practical expertise with APM/RUM tools like New Relic (our primary tool), DataDog, AppDynamics, or Dynatrace. Strong hands-on proficiency with modern load testing tools, specifically K6 and Playwright; experience with JMeter and Locust is also valuable. Experience with K6 browser testing is a significant advantage.
• Cloud Platform Experience: Demonstrable experience on major cloud platforms (e.g., AWS, GCP, Azure).
• Web Technologies: Solid experience with front-end performance analysis (Core Web Vitals) and a strong grasp of platforms and architectural concepts (e.g., Next.js, Magento, SAP Hybris, Shopify).
• Analytical Skills: Strong analytical and problem-solving skills, with an understanding of concepts like parameterization in performance testing.

Leadership & Soft Skills:

• Communication: Exceptional communication skills with the ability to curate the right level of content for different audiences, from developers to senior leadership.
• Growth Mindset: A proactive, self-starting attitude with the drive to push boundaries and champion best practices. You remain cool and collected under pressure, can handle constructive feedback, and have a keen awareness of emerging technologies.
• Mentorship & Collaboration: A passion for mentoring with proven experience guiding less experienced engineers. You share knowledge proactively, collaborate across disciplines, and advocate for integrating performance early in the SDLC.
• Strategic Thinking: Ability to connect dots between complex business challenges and technical solutions, collaborating with architects and other subject matter experts to drive results, moving beyond a siloed approach.

Consultancy & Business Acumen:

• Client Leadership: An assertive and confident approach to client engagement, with the ability to act as a trusted advisor and stand your ground effectively on large, complex projects.
• Commercial Mindset: Strong commercial acumen, comfortable discussing business drivers like cost and ROI, and an eagerness to contribute to business development activities.

If you know some of this, even better:

• Deeper eCommerce Expertise: Proven experience in performance testing and analysis of e-commerce applications, preferably with platforms like IBM WebSphere Commerce, SAP Hybris, or Magento, or SFCC Sports.
• Broader Stack Exposure: Experience with SRE practices, caching/CDNs, containerisation (Docker/Kubernetes), or infrastructure-as-code (e.g., Terraform) from a performance perspective.
• Continuous Delivery Integration: Experience implementing performance testing and performance gates in CI/CD pipelines, including test automation, environment strategy, and integration with observability tooling.
• Formal Line Management Experience: Experience managing one or more team members with accountability for professional development, performance management, and day-to-day well-being.
• Frontend Performance Analysis: Experience with front-end page load analysis, profiling, and optimization using tools like WebPageTest, PageSpeed Insights, SpeedCurve, or sitespeed.io.

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

The opportunity:

We're looking for a Lead QA Engineer to be the technical authority on complex accounts. This is a hands-on technical leadership role—you'll architect automation frameworks, solve the hard problems, and set the technical direction for QA on your engagements, as well as being an active member of the QA community.

You're the person the team turns to when things get complicated. You've built automation from the ground up, you understand the trade-offs, and you know how to design solutions that scale. You lead through expertise—raising the bar technically and helping others grow through mentorship and demonstration.

You're also an innovator. You're actively using AI tools to accelerate your work and you're thinking about what's next—whether that's self-healing tests, smarter automation, or new approaches to quality. You don't just follow best practice; you help shape it.

And beyond the technical, you're a confident communicator who can hold your own with senior client stakeholders—explaining approaches, trade-offs, and recommendations to influence decisions at a project level.

What you’ll be doing:

• Be the technical lead for QA on complex engagements—owning test strategy and the automation approach
• Architect, build, and evolve automation frameworks that others can rely on and contribute to
• Own and solve the hard technical problems—test architecture, flaky tests, CI/CD integration, environment issues
• Set the technical direction for QA on your accounts—tooling, approach, and structure
• Drive shift-left practices, embedding quality into requirements, design, and development
• Design and execute test strategies across UI, functional, integration, API, accessibility and regression testing
• Mentor and elevate QA engineers through hands-on collaboration and knowledge sharing
• Innovate with AI—using modern tools to work smarter and exploring what's next for QA
• Communicate technical recommendations and trade-offs to clients and internal teams
• Participate in client-facing forums—demos, triage, release calls, and technical discussions
• Contribute to a specialism and share knowledge across the wider QA community

What we want from you:

• A clear track record in automation architecture and technical problem-solving
• Solid experience testing in complex, transactional environments
• Proficient in Playwright and TypeScript
• You've designed frameworks from scratch—not just written tests, but built the foundations
• Comfortable working across the full stack—Web apps, Native Apps, APIs, backends, logs, data
• Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) and associated best practices.
• Strong understanding of CI/CD and how testing fits into modern delivery
• Experience working within agile scrum environments on complex, multi-stream deliveries
• Confident communicating technical concepts to clients, developers, and stakeholders
• A genuine continuous learner—curious, experimental, always evolving
• Pragmatic and delivery-focused, but motivated by a good technical challenge

If you know some of this even better:

• Experience building AI-powered testing capabilities
• A QA specialism you're passionate about
• Experience working across distributed teams
• Contributions to tooling, frameworks, or knowledge sharing beyond your immediate team

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

The opportunity

We're looking for a Senior QA Engineer to join our team, working primarily on ecommerce solutions. You'll be hands-on with both manual and automated testing, embedded within agile scrum teams, and collaborating closely with developers throughout the delivery lifecycle.

You're someone who's curious, pragmatic, and comfortable working in fast-moving environments. You know when to script and when to explore. You're not afraid of APIs, logs, or digging into the backend to understand what's really happening.

But beyond the technical—you're a strong communicator. You can explain issues clearly, present testing outcomes with confidence, and hold your own in client conversations. You're always looking for better ways to do things, whether that's improving a process, trying a new tool, or bringing fresh thinking to how we approach quality. You're a continuous learner who takes ownership of your own growth.

What you’ll be doing

• Design, document, and execute test cases across web applications, APIs, and backend systems
• Perform system testing, system integration testing, and exploratory testing
• Build and maintain test automation using Playwright (or similar) with JavaScript/TypeScript
• Integrate automated tests into CI/CD pipelines and contribute to their reliability
• Work in a shift-left approach—participating in refinements, planning, and requirements analysis to catch issues early
• Identify, document, and track defects with clear reproduction steps, collaborating with developers on root cause analysis
• Query and analyse data from various sources (databases, logs, monitoring tools) to investigate issues and validate behaviour
• Contribute to process improvements, and ways of working within your scrum team
• Communicate testing progress, risks, and quality metrics to both internal teams and clients
• Participate in client-facing meetings such as demos, triage calls, and release discussions
• Proactively identify opportunities to improve quality, tooling, or processes—and act on them

What we want from you

• Solid experience in QA or test engineering
• Experience testing ecommerce or transactional platforms—you understand customer journeys, checkout flows, payments, and integrations
• A strong balance of manual testing expertise and hands-on automation skills
• Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) to accelerate your work
• Comfortable with API testing tools (e.g., Postman) and working with backend data—querying databases, reading logs, validating data flows
• Experience working within agile scrum environments—sprints, standups, refinements, and retros
• Familiarity with CI/CD tooling and practices
• Excellent communication skills—written and verbal—with the confidence to engage directly with clients and stakeholders
• A genuine continuous learning mindset—you stay curious, seek feedback, and actively develop your skills
• An innovative streak—you look for smarter ways to work and aren't afraid to challenge the status quo
• Analytical mindset with attention to detail and strong problem-solving instincts
• Adaptable and open to evolving how you work, including adopting modern tools and approaches

Desirable Attributes

• Experience with performance or security testing
• Familiarity with cloud platforms or containerised environments
• Exposure to accessibility testing standards (WCAG)

What we can offer you

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

The Opportunity:

We are seeking a dynamic and experienced Lead Performance Engineer to join our growing team in Portugal. This is a pivotal, permanent role that combines deep, hands-on technical expertise with strategic leadership, client engagement, and mentorship. Reporting to the Principal Performance Engineer, you will be a key figure responsible for safeguarding and enhancing the performance, scalability, and reliability of our clients' critical digital platforms.

We are looking for a multi-faceted professional who brings a blend of deep technical knowledge, strong leadership qualities, and a strategic, consultative mindset. You have extensive, hands-on experience in performance engineering, with a demonstrable history of improving performance for complex, large-scale, highly transactional applications. You are someone who not only solves technical problems but also builds relationships, guides teams, and drives business value.

What you’ll be doing:

Leadership, Strategy & Client Engagement:

• Act as a performance engineering consultant for key clients, building strong relationships with internal and external stakeholders, providing expert guidance, and confidently leading technical discussions to non-technical audiences.
• Champion the value of performance engineering across the business, demonstrating its impact on user experience, conversion, and client ROI.
• Mentor and guide junior to mid-level engineers, fostering a culture of performance excellence and continuous learning.
• Contribute to and implement wider performance engineering strategies, evolving practices, and tooling (e.g., K6, Playwright, APM tools).
• Demonstrate strong AI literacy, with practical experience using generative AI (e.g., LLMs, code-gen tools) as a productivity multiplier for tasks such as script/data generation and analysis. Drive innovation in Performance Monitoring and Testing using AI.
• Collaborate with account and leadership teams to identify opportunities and contribute to commercial proposals.

Hands-on & Release Activities:

• Lead performance testing efforts, including workload modeling, test execution, root cause analysis, and reporting.
• Develop and present clear, actionable reports on key performance metrics (including Core Web Vitals) to both technical and business stakeholders.
• Own the configuration and maintenance of APM and observability tools (e.g., New Relic, DataDog, Dynatrace), including designing meaningful dashboards and robust alerting strategies, as dedicated observability engineers are not always present.
• Act as the performance authority within development teams, providing expertise and oversight, particularly regarding the impact of changes on analytics and sales revenue.
• Drive the agenda for performance optimization, introducing new testing capabilities within allocated projects.

What We Want from You:

Technical Expertise:

• Programming: Strong proficiency in JavaScript/TypeScript is critical for new development in K6; additional languages (e.g., Python, Java) are a plus.
• Performance Tooling: Deep, practical expertise with APM/RUM tools like New Relic (our primary tool), DataDog, AppDynamics, or Dynatrace. Strong hands-on proficiency with modern load testing tools, specifically K6 and Playwright; experience with JMeter and Locust is also valuable. Experience with K6 browser testing is a significant advantage.
• Cloud Platform Experience: Demonstrable experience on major cloud platforms (e.g., AWS, GCP, Azure).
• Web Technologies: Solid experience with front-end performance analysis (Core Web Vitals) and a strong grasp of platforms and architectural concepts (e.g., Next.js, Magento, SAP Hybris, Shopify).
• Analytical Skills: Strong analytical and problem-solving skills, with an understanding of concepts like parameterization in performance testing.

Leadership & Soft Skills:

• Communication: Exceptional communication skills with the ability to curate the right level of content for different audiences, from developers to senior leadership.
• Growth Mindset: A proactive, self-starting attitude with the drive to push boundaries and champion best practices. You remain cool and collected under pressure, can handle constructive feedback, and have a keen awareness of emerging technologies.
• Mentorship & Collaboration: A passion for mentoring with proven experience guiding less experienced engineers. You share knowledge proactively, collaborate across disciplines, and advocate for integrating performance early in the SDLC.
• Strategic Thinking: Ability to connect dots between complex business challenges and technical solutions, collaborating with architects and other subject matter experts to drive results, moving beyond a siloed approach.

Consultancy & Business Acumen:

• Client Leadership: An assertive and confident approach to client engagement, with the ability to act as a trusted advisor and stand your ground effectively on large, complex projects.
• Commercial Mindset: Strong commercial acumen, comfortable discussing business drivers like cost and ROI, and an eagerness to contribute to business development activities.

If you know some of this, even better:

• Deeper eCommerce Expertise: Proven experience in performance testing and analysis of e-commerce applications, preferably with platforms like IBM WebSphere Commerce, SAP Hybris, or Magento, or SFCC Sports.
• Broader Stack Exposure: Experience with SRE practices, caching/CDNs, containerisation (Docker/Kubernetes), or infrastructure-as-code (e.g., Terraform) from a performance perspective.
• Continuous Delivery Integration: Experience implementing performance testing and performance gates in CI/CD pipelines, including test automation, environment strategy, and integration with observability tooling.
• Formal Line Management Experience: Experience managing one or more team members with accountability for professional development, performance management, and day-to-day well-being.
• Frontend Performance Analysis: Experience with front-end page load analysis, profiling, and optimization using tools like WebPageTest, PageSpeed Insights, SpeedCurve, or sitespeed.io.

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

The opportunity:

We're looking for a Lead QA Engineer to be the technical authority on complex accounts. This is a hands-on technical leadership role—you'll architect automation frameworks, solve the hard problems, and set the technical direction for QA on your engagements, as well as being an active member of the QA community.

You're the person the team turns to when things get complicated. You've built automation from the ground up, you understand the trade-offs, and you know how to design solutions that scale. You lead through expertise—raising the bar technically and helping others grow through mentorship and demonstration.

You're also an innovator. You're actively using AI tools to accelerate your work and you're thinking about what's next—whether that's self-healing tests, smarter automation, or new approaches to quality. You don't just follow best practice; you help shape it.

And beyond the technical, you're a confident communicator who can hold your own with senior client stakeholders—explaining approaches, trade-offs, and recommendations to influence decisions at a project level.

What you’ll be doing:

• Be the technical lead for QA on complex engagements—owning test strategy and the automation approach
• Architect, build, and evolve automation frameworks that others can rely on and contribute to
• Own and solve the hard technical problems—test architecture, flaky tests, CI/CD integration, environment issues
• Set the technical direction for QA on your accounts—tooling, approach, and structure
• Drive shift-left practices, embedding quality into requirements, design, and development
• Design and execute test strategies across UI, functional, integration, API, accessibility and regression testing
• Mentor and elevate QA engineers through hands-on collaboration and knowledge sharing
• Innovate with AI—using modern tools to work smarter and exploring what's next for QA
• Communicate technical recommendations and trade-offs to clients and internal teams
• Participate in client-facing forums—demos, triage, release calls, and technical discussions
• Contribute to a specialism and share knowledge across the wider QA community

What we want from you:

• A clear track record in automation architecture and technical problem-solving
• Solid experience testing in complex, transactional environments
• Proficient in Playwright and TypeScript
• You've designed frameworks from scratch—not just written tests, but built the foundations
• Comfortable working across the full stack—Web apps, Native Apps, APIs, backends, logs, data
• Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) and associated best practices.
• Strong understanding of CI/CD and how testing fits into modern delivery
• Experience working within agile scrum environments on complex, multi-stream deliveries
• Confident communicating technical concepts to clients, developers, and stakeholders
• A genuine continuous learner—curious, experimental, always evolving
• Pragmatic and delivery-focused, but motivated by a good technical challenge

If you know some of this even better:

• Experience building AI-powered testing capabilities
• A QA specialism you're passionate about
• Experience working across distributed teams
• Contributions to tooling, frameworks, or knowledge sharing beyond your immediate team

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

ABOUT WIN:

Founded in 1993, WIN is a highly innovative PropTech company building new and disruptive software platforms and products for the massive real estate industry. We have the stability and brand recognition as a 30-year old company along with the curiosity and energy of a start-up. We are an Entrepreneur 500 company, Entrepreneur Fastest Growing company, and recognized as the Most Innovative Home Services Company.

OUR CULTURE:

Our colleagues are driven by curiosity and tinkering and a desire to make an impact. They enjoy a culture of high energy and collaboration where we listen to each other with empathy, experience personal and professional growth, and celebrate small victories and big accomplishments. Click here to learn more about our company and culture: https://www.linkedin.com/company/winhomeinspection/life

ABOUT THE SENIOR DATA ENGINEER ROLE:

WIN is looking to add Senior Data Engineer to our growing team! Ideal candidates are passionate about analyzing complex data sets, generating insights, and providing data-driven recommendations. You will be part of a multi-disciplinary team transforming the real estate industry with one of its kind disruptive services by harnessing the power of generative AI in most of our upcoming products. 

KEY RESPONSIBILITIES:

1. Collaborate with cross-functional teams to define data requirements, perform data collection, and ensure data quality and integrity.
2. Curate data sets including through hands on analyses and automated tools including web scraping, ETL pipelines and SQL queries.
3. Conduct in-depth research and analysis to identify new data sources and complement existing data sources.
4. Design and maintain intuitive BI dashboards, reports, and visualizations to effectively communicate complex data and insights.
5. Identify actionable business insights through analysis of data trends, patterns, and correlations.
6. Own documentation of data processes, schemas, and data sets
7. Build using best practices in security, design, and data quality.

REQUIRED QUALIFICATIONS:

1. Bachelors in computer science or related technical field.
2. 2-5 years of experience in data analysis (e.g. Python, SQL, Excel, Tableau, Looker, PowerBI) and visualization tools
3. Experience with data querying, manipulation, and integration scripting a plus
4. Experience with enterprise cloud computing and storage platforms (AWS, GCP etc)
5. Thrive in a dynamic environment that requires innovation and speed of execution.
6. Ability to understand and break-down problems and propose clear solutions.
7. Creative and outside-the-box thinker with strategic mindset
8. Willing to learn new technologies and platforms.
9. Strong work ethic, high integrity, and a team-player

WHAT WE OFFER:

1. Highly inclusive and collaborative culture built on mutual respect.
2. Focus on core values, initiative, leadership and adaptability.
3. Strong emphasis on personal and professional development
4. Flexibility to work remotely and/or hybrid indefinitely.

#LI-REMOTE

Overview

Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges.

Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI, and geospatial deep learning. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.

As a Product Engineer, you will play a key role in ensuring the quality and usability of our geospatial AI tools, models, and libraries. You will design and implement test plans, write test code, and validate software, SDKs, and AI models to help deliver robust, high-quality products to our customers. This will also include performing, documenting, and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, and gathering requirements. If you are passionate about geospatial AI, have a deep understanding of the product and customer needs, and communicate effectively via writing and presentations, this is the place to be!

Responsibilities

• Develop and implement test plans and test cases, write test code, verify code changes, bug fixes for the relevant and related products to maintain product quality
• Review and analyse test results; report status on software quality and stability; test and certify software, SDK, and AI model quality
• Troubleshoot and triage customer issues, analyse user feedback to identify areas for improvement
• Collaborate with data scientists and engineers on the testing, documentation and release of tools, APIs and pretrained models for geospatial AI
• Develop samples, tutorials, documentation, blog posts and presentation of product features
• Develop pre-trained geospatial AI models for imagery, 3D datasets and text

Requirements

• 2 to 8 years of industry experience in a software development or QA environment, preferably in product-based or geospatial consulting companies
• Hands-on experience in QA processes, implementing test plans, developing or managing test automation, and product certification
• Proficiency in Python and Jupyter notebooks, GIS libraries like GDAL/Rasterio or ArcPy, and/or testing frameworks like Pytest
• Familiarity with GIS concepts, spatial data, and geospatial workflows
• Basic understanding of machine learning and deep learning workflows
• Effective project management, time management, and organizational skills
• Technical writing skills and experience authoring samples, blog posts, and product documentation
• Bachelor's in GIS, geography, engineering, computer science, math, or related fields
• Existing work authorization for India

Recommended Qualifications

• Master's in GIS, geography, engineering, computer science, math, or related fields
• Strong knowledge of software QA methodologies, tools, and processes
• Experience working in an Agile/Scrum development process
• Hands-on experience with the ArcGIS suite of products or open-source GIS software
• Experience with remote sensing, satellite imagery, and multispectral image analysis

#LI-PK1

#LI-Hybrid

About Us: Founded in 1972, Atari is one of the world’s most iconic consumer brands and a pioneer in the video game industry, known for creating classics like Pong, Asteroids, and Centipede. Today, Atari Inc. continues to build on its legacy by developing games, hardware, and experiences that honor the past while driving innovation for the future. 

Over the past two years, we've been building Atari India, a growing team that plays a critical role in supporting our global operations. We're proud of the team we've assembled so far, and we’re just getting started. As part of a lean, high-impact organization, the team in India works closely with colleagues in North America and Europe on projects that move the company forward. Whether you're helping launch a new game, keeping our infrastructure secure, or supporting day-to-day operations, your work here matters. Join us as we continue to grow Atari India and build the future of a legendary brand.

Position: Principal AI Systems Engineer 
Experience: 8+ Years
Location: Netaji Subhash Place, Pitampura, New Delhi
Employment Type: Full-Time (Hybrid)
Reports to: Senior Director of Technology, India

About the Role 

Architect, build, and own AI systems that automate expert-intensive technical workflows end-to end — from CLI frameworks, MCP servers, and agent tooling through to production deployment, business outcome tracking, and continuous improvement. You solve real business problems with AI, ensure solutions are fully implemented and adopted, and measure whether they are actually working.

Responsibilities

System Architecture

• Own end-to-end architecture of AI automation systems: workflow decomposition, component communication, human checkpoints, and failure behaviour
• Design and build internal CLI frameworks, reusable libraries, and agent scaffolding
• Author and maintain agent instruction files (SKILL.md, CLAUDE.md, system prompts) and MCP server definitions
• Configure Claude Code and Codex CLI environments: MCP wiring, tool permissions, slash commands, and engineering standards
• Evaluate and document architectural trade-offs across reliability, latency, cost, and maintainability

Pipeline Development

• Build production-grade AI pipelines in Python: orchestration, structured prompting, context assembly, schema validation, and retry strategies
• Integrate AI systems with external tooling — version control, build pipelines, SDKs, compliance databases, internal APIs
• Design context assembly: how domain knowledge, runtime state, retrieved documents, and tool outputs compose into the precise input each pipeline stage needs
• Build and operate multi-agent systems: orchestrator-worker patterns, agent memory, structured handoffs, and conflict resolution

Prompt & Context Engineering

• Design, version, and maintain system prompts and agent instructions as first-class engineering artefacts
• Own output schema design and prompt regression testing with a maintained ground-truth eval set
• Engineer context windows with precision — balancing accuracy, token cost, and latency through compression and selective retrieval
• Partner with the RAG Engineer to define retrieval requirements — what knowledge is needed, under what conditions, and at what granularity
• Build and maintain structured runtime knowledge assets: curated document corpora, rule sets, decision trees, and validation reference libraries
• Work with domain experts to translate specialist knowledge into agent behaviour: decision logic, edge cases, and failure modes

Evaluation & Reliability

• Build and own the evaluation framework: test suites, regression benchmarks, LLM-as-judge pipelines, and per-stage quality metrics
• Implement production monitoring using LangFuse, Arize, or equivalent — latency, token usage, success rates, and output quality drift
• Run structured failure analysis and implement targeted fixes across context assembly, orchestration, and tool integration
• Define automation rate as a first-class metric and report on business effectiveness of deployed systems

Governance & Technical Leadership

• Implement full audit trails — inputs, tools called, outputs, and human review triggers
• Enforce versioning of all agent instructions and system prompts as engineered artefacts with controlled rollout
• Set the technical standard for AI development across the organization — architecture patterns, eval practices, and quality gates
• Collaborate with engineering, product, and domain teams; engage leadership on roadmap priorities and technical risk
  
  

Requirements

• Proven track record of building production AI automation systems from scratch — end-to-end from architecture through deployment
• Hands-on expertise with Claude Code, Codex CLI, Cursor, or equivalent — including MCP server configuration and agent instruction authoring
• Experience designing and deploying MCP servers and custom tools: tool schema, authentication, and permission boundaries
• Experience building internal CLI frameworks, agent scaffolding, and reusable libraries that others build on
• Experience creating internal tooling and automation that measurably improved engineering team efficiency — reducing manual processes and accelerating workflows
• Experience working with data scientists and domain experts to implement AI solutions that measurably improved team productivity
• Deep prompt and context engineering: system prompts, few-shot design, chain-of-thought, token budget management, and prompt versioning
• Proficiency with LLM orchestration frameworks — LangChain, LangGraph, LlamaIndex, AutoGen, or equivalent
• Experience building AI evaluation frameworks: test suites, regression benchmarks, LLM-as-judge, and production quality monitoring
• Production Python engineering: modular, testable, well-logged code with proper error handling
• Cloud platform experience (AWS, Azure, or GCP): deploying and monitoring AI workloads with containerisation
• Experience integrating AI systems with external APIs — tool definition, permission management, and failure handling
• Experience defining and tracking AI productivity metrics: automation rate, time-to-completion, and human intervention rate
  
  

Bonus Points

• Experience in gaming: game development pipelines, Unity/Unreal engine architectures, or platform certification processes
• Familiarity with game engine scripting, asset pipelines, or platform SDKs (Xbox GDK, PlayStation SDK, or similar)
  

Shift Timings: 9AM TO 6PM IST

About the team:

As part of DataDome’s European technical support team, you will have a direct impact and daily interaction with clients such as Tripadvisor, Pokemon, ZocDoc, just to name a few.

This is an ideal opportunity to work with a variety of clients in their usage and adoption of DataDome’s platform, while simultaneously developing your knowledge and skill sets relating to cloud software, cybersecurity, and AI. When it comes to our support stack, we use Slack and Zendesk to provide support to our clients and Jira internally.

The Eurasian team is managed remotely, and emphasizes collaboration and engagement amongst dedicated problem solvers. 

As the Technical Support Engineer, you will be in charge of things like...

• Proactively monitoring customers’ exchanges and responding to support tickets while leveraging your expertise and knowledge of our solution and implementation phases.
• Informing our customers on how to get the most out of their DataDome products and services, respond to requests in a timely and precise manner, and be the point of contact to resolve customer issues related to DataDome products and services.
• Continuously developing your expertise and understanding of our solution, the implementation lifecycle, our bot detection process, as well as our dashboard functionalities through training, hands-on testing, sessions via our Learning & Development platform.
• Answer customers’ technical questions, while informing them and our internal global teams (Customer Success & Engineering) about your findings, meeting or exceeding service-level agreements (SLAs), and escalating ticket requests.
• Participating in an on-call rotation to provide to support our 24/7 support model
• Collaborating and exchanging with our global Threat Research team and cybersecurity experts on a daily basis, while simultaneously contributing to protecting and reducing fraudulent online traffic - basically this is what being a Datadomer is all about!

It would be great if...

• You have at least 2 years of relevant work experience in technical support, product support, or a similar customer-facing technical role
• You have experience supporting B2B cloud software
• You are self-driven, curious, an eager learner, at ease working autonomous and highly motivated
• You are a team player and enjoy interacting with global teams
• You are a customer-driven individual, who is excited to work and solve technical challenges in a rewarding environment alongside great people
• Technical and functional understanding of website hosting and architecture, mobile application, and how the internet works (architecture, components, flows, OSI Layers)
• You have experience with Apache, Nginx, AWS Lambda@edge, CDNs (e.g., Akamai, CloudFlare, Fastly), and WAFs
• You have cybersecurity experience

Bonus Points

• You are interested in deep diving into data and you are familiar with Kibana/Elasticsearch
• HTTP protocol is no mystery for you

What’s in it for you?

• Fully Remote position (India-based) work + $500 stipend to help you set up your ideal workspace after 90 days of employment
• Health Benefits: We offer medical, dental, & vision insurance options to keep you feeling your best.
• Professional Development: #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.
• Events & Team building: #Wecare and we have fun! We organise Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture
• PTO: 20 paid time off days, 5 sick days and 2 floating holidays
• Equivalent of 401 K eligibility + matching.

What are the next steps?

• You x Talent Acquisition Specialist
• You x Gaetan , Support Engineer Manager
• You x Team for the test
• You x Leta , Chief Customer Officer
• You x Benjamin, CEO
• Welcome to DataDome!

DataDome delivers real-time bot and agent trust management, giving businesses complete visibility and control over all traffic—human, bot, or AI. Named a Leader in The Forrester Wave™ for Bot Management, DataDome is trusted by enterprises like Etsy, PayPal, and Soundcloud. Acting as a traffic control plane, DataDome's multi-layered AI engine leverages thousands of models and 5 trillion signals daily to analyze intent and stop fraud in under 2 milliseconds—letting legitimate users through seamlessly across websites, apps, APIs, and MCPs. Backed by a 24/7 SOC and expert threat researchers, DataDome stops 20k+ attacks every second. With 30+ global PoPs, and 50+ ready-made integrations, DataDome is a recognized Leader on G2 across several categories—delivering protection that outperforms.

DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About The Role:

Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.

Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.

Who You Are:

• 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
• Strong background in running production SaaS systems at scale.
• Proficiency in at least one programming/scripting language (Python, Go, or similar).
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
• Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
• Familiarity with advanced observability (OTEL, continuous profiling).
• Proven incident management experience, including leading high-severity incidents and postmortems.
• Strong troubleshooting skills across the full stack.
• Excellent communication and collaboration skills.

What You’ll Do

• Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
• Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
• Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
• Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
• Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
• Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.

About The Role:

Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.

Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.

Who You Are:

• 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
• Strong background in running production SaaS systems at scale.
• Proficiency in at least one programming/scripting language (Python, Go, or similar).
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
• Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
• Familiarity with advanced observability (OTEL, continuous profiling).
• Proven incident management experience, including leading high-severity incidents and postmortems.
• Strong troubleshooting skills across the full stack.
• Excellent communication and collaboration skills.

What You’ll Do

• Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
• Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
• Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
• Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
• Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
• Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.