About The Role 

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

Key Responsibilities

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

Basic Qualifications

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

Preferred Qualifications

• Proficiency in Secure Software Development practices

Role 

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

What you’ll do (Role Expectations)

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

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

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

What Will Make You Stand Out (Preferred Qualifications)

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

#LI-Hybrid
#LI-RG

The Role

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

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

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

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

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

What You’ll Do

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

Who You Are

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

Bonus

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

Position Summary:

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

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

Key Responsibilities:

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

Basic Qualifications:

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

Preferred Qualifications:

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

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

So, what’s the role all about?

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

How will you make an impact?

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

Have you got what it takes?

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

What’s in it for you?

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

Enjoy NICE-FLEX!

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

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

The Role

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

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

What It Means to Be L5 at Securly

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

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

About Securly

Benefits

The Role

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

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

What It Means to Be L5 at Securly

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

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

About Securly

Benefits

The Role

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

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

What It Means to Be L5 at Securly

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

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

About Securly

Benefits

The Role

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

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

What It Means to Be L5 at Securly

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

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

About Securly

Benefits

The Role

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

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

What It Means to Be L5 at Securly

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

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

About Securly

Benefits

The Role

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

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

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

What It Means to Be L5 at Securly

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

About Securly

Benefits

The Role

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

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

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

What It Means to Be L5 at Securly

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

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

What You'll Do

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

Skills & Requirements

Who You Are

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

About Securly

Benefits

About Druva 

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

The Role
We are looking for a highly skilled SDET to join our Agile development team. In this role, you will not just test software; you will deconstruct complex features to understand their design, build robust automation frameworks, and ensure the resilience of our cloud-based backup solutions.
You will work closely with developers to perform white-box and black-box testing, owning the quality of features from conception to deployment.

Required Skills & Qualifications

Operating Systems & Core Concepts:

• Proficiency in Windows and Linux OS.
• Deep understanding of Threading, Multiprocessing, and Socket Programming.
• Strong knowledge of Networking protocols and Cloud Architecture.

Programming & Scripting:

• Strong proficiency in one or more high-level languages: Python, Golang.
• Experience with SQL databases.

Testing & Tools:

• Expertise in RESTful API testing.
• Proficiency with bug and test management tools (e.g., Jira, XRay).
• Familiarity with Agile testing methodologies and quality metrics.
• Strong analytical, troubleshooting, and debugging capabilities.

Version Control:

• Proficiency with Git or SVN.

Pluses (Nice to Have)

• Familiarity with virtualization technologies (e.g., VMware).
• Experience with NoSQL databases (e.g., MongoDB, Cassandra).

Key Responsibilities

• Agile Collaboration: Work closely with the development team in an Agile environment to understand functional specifications and design requirements.
• Test Planning: Independently create comprehensive feature test plans aligned with development milestones and feature completion.
• Automation Frameworks: Leverage existing automation frameworks to automate feature tests and actively augment libraries to support new functionalities.
• End-to-End Ownership: Own the complete test execution cycle for user stories, ensuring high-quality delivery.
• Testing Strategy: Perform a mix of automated, manual, white-box, and black-box testing.
• Infrastructure Management: Create, maintain, and document testbed setups and environments.
• Quality Assurance: Timely reporting, tracking, and updating of issues and test cases using management tools.
• Cross-Functional Delivery: Collaborate with cross-functional teams to ensure quality benchmarks are met throughout the development lifecycle.

Qualification:

• B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent.

Experience : 3-6 Years 

About the Role

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

What You'll Do

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

What You'll Bring

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

Bonus Skills

• Experience in the data protection industry

What You'll Get

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

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

About the Role

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

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

What You’ll Do

• Technical Strategy & Architecture

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

  Engineering Execution & Excellence

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

  Organizational Leadership & Influence

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

  Mentorship & Talent Development

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

  Operational Ownership

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

What You’ll Bring

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

Bonus Skills

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

What You’ll Get

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

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

#LI-KP1

About the Role

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

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

What You’ll Do

Reliability Engineering & Resilience:

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

Observability & Operational Excellence:

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

Engineering at Scale:

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

Collaboration & Culture:

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

What You’ll Bring

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

Bonus Skills

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

What You’ll Get 

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

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

#LI-IU

What You’ll Do:

In this role, you will take the lead in designing, building, and optimizing data pipelines, ensuring high-quality data integration and real-time analytics. As a Senior Staff Engineer, you will mentor and guide a team of data engineers, collaborate with cross-functional teams, and drive best practices for data architecture and engineering.

• Leadership & Mentorship:
  • Lead and mentor a team of engineers, ensuring technical excellence and continuous improvement.
  • Provide guidance on complex technical issues, and foster a culture of collaboration and innovation.
  • Develop and maintain data engineering processes, practices, and standards across the team.
• Data Architecture & Engineering:
  • Design and develop robust, scalable, and efficient data pipelines for ETL (Extract, Transform, Load) processes.
  • Architect data solutions and ensure seamless integration of data from diverse sources, both on-premise and in the cloud.
  • Optimize data storage, retrieval, and processing for performance and scalability.
• Collaboration & Stakeholder Management:
  • Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Collaborate with the software engineering team to ensure smooth integration of data pipelines into applications.
• Data Quality & Governance:
  • Ensure data integrity, quality, and consistency across systems.
  • Implement and enforce data governance policies and best practices, ensuring compliance with data privacy regulations.
• Continuous Improvement:
  • Stay updated with the latest trends in data engineering, big data technologies, and cloud platforms.
  • Drive automation, testing, and optimisation within data pipelines to improve overall efficiency.
• Technology Stack:
  • Lead the selection and implementation of appropriate technologies for data storage, processing, and retrieval (e.g., Hadoop, Spark, Kafka, Airflow).
  • Experience working with public clouds like GCP/AWS.
  • Proficient with SQL, Java, Spring boot, Python or at least one Object oriented language, Bash.
  • Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc.

Who You Are:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent work experience).
• 8+ years of experience in data engineering or related roles, with at least 2 years in a leadership or senior technical position.
• Extensive experience with data warehousing, ETL pipelines, data modeling, and data architecture.
• Strong experience working with large-scale data processing frameworks (e.g., Hadoop, Apache Spark, Kafka).
• Proficient in SQL, Python, Java, or other relevant programming languages.
• Hands-on experience with cloud-based platforms (AWS, GCP, Azure).
• Familiarity with data orchestration tools like Apache Airflow or similar.
• Strong knowledge of databases (SQL and NoSQL) and data storage technologies.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to work effectively with both technical and non-technical teams.

We invite you to join our team in developing innovative network security management solutions for SonicWall's Network Security Manager (NSM), a centralized management and analytics platform within the SonicWall Unified Management (UM) ecosystem. In this role, you will help build secure and scalable software capabilities that integrate with SonicWall's Unified Management (UM) platform and Shared Services Platform (SSP) to meet the unique operational needs of enterprise customers, Managed Service Providers (MSPs), and Managed Security Service Providers (MSSPs) around the globe.

You will design and build cloud-native and on-premises microservices, RESTful APIs, real-time communication layers, and frontend components that power NSM's security policy management, device orchestration, and network visibility features. This role spans backend-first full-stack development and demands a security-first engineering mindset, strong Go proficiency, and the ability to leverage AI-assisted development tools responsibly and critically.

You will work as part of a globally distributed engineering team across India, the USA, and other development centers, collaborating cross-functionally with engineers, QA, and product teams to deliver high-quality features in an agile, fast-paced environment.

What You’ll Do

• Design and build cloud-native microservices and REST APIs (Go-based)
• Lead end-to-end system design (architecture, APIs, data models)
• Develop secure communication using mTLS and certificate-based trust
• Build real-time systems (WebSockets, event-driven architecture)
• Ensure secure coding practices aligned with OWASP standards
• Implement observability (logging, tracing, metrics)
• Collaborate with global teams across engineering, QA, and product
• Use AI-assisted coding tools responsibly to improve productivity and quality

What You Bring

• Minimum 6 to 8 Year's Software Development with a strong focus on backend development.
• Strong experience in Golang, microservices, and distributed systems
• Expertise in system design and scalable SaaS architectures
• Hands-on with REST APIs, gRPC, and event-driven systems
• Experience with MongoDB and performance optimization
• Solid understanding of network security fundamentals
• Familiarity with mTLS, PKI, and secure communication

Tech Stack

• Cloud & DevOps: AWS (EKS, EC2, S3), Kubernetes, Helm, Istio
• Observability: OpenTelemetry, New Relic, OpenSearch
• Security: OWASP, mTLS, IAM, RBAC
• Networking: TCP/IP, Firewalls, VPNs (IPSec, WireGuard)

#LI-KB7

#LI-Pune

#LI-Networking

#LI-Golang 

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

Cloud Platform Team at Druva drives the backbone of everything SaaS related. This team designs and develops features that cater to both Customer facing needs and internal stakeholders, playing a pivotal role in evolving Druva's architecture, as the company scales further. Key focus areas for the Platform Organization includes Druva Cloud Platform, Product-Led Growth (PLG), MSP Solutions, Ecosystem & Integrations, Licensing, Billing, and Revenue Systems. By tackling these critical domains, the team ensures Druva’s platform remains robust, scalable, and ready for the future.

About Role

We are seeking a highly skilled Senior Staff SDET who brings strong engineering fundamentals, deep automation capability, and a passion for quality in distributed, cloud-based systems. This role involves designing test strategies, improving automation frameworks, and working closely with developers to ensure the reliability and security of complex backup workflows.You will contribute across the full lifecycle - from feature design and white-box testing to deployment and validation in cloud environments.

Key Responsibilities

• Agile Collaboration: Work closely with the development team in an Agile environment to understand functional specifications and design requirements.
• Test Planning: Independently create comprehensive feature test plans aligned with development milestones and feature completion.
• Automation Frameworks: Leverage existing automation frameworks to automate feature tests and actively augment libraries to support new functionalities.
• End-to-End Ownership: Own the complete test execution cycle for user stories, ensuring high-quality delivery.
• Testing Strategy: Perform a mix of automated, manual, white-box, and black-box testing.
• Infrastructure Management: Create, maintain, and document testbed setups and environments.
• Quality Assurance: Timely reporting, tracking, and updating of issues and test cases using management tools.
• Cross-Functional Delivery: Collaborate with cross-functional teams to ensure quality benchmarks are met throughout the development lifecycle.

Must Have Skills:

Operating Systems & Core Concepts:

• Knowledge of working with Docker, Linux, Windows
• Good knowledge of networking and cloud architecture fundamentals, preferably with exposure to AWS and/or Azure services (networking, storage, compute).

Programming & Automation:

• Proficiency in Python or Java (Python preferred).
• Strong Shell scripting ability.
• Hands-on experience with SQL databases.

Testing skills & Tools:

• Strong experience in REST API testing and backend automation.
• Experience in UI automation (Selenium / Playwright preferred)
• Proficiency with tools like Git, Jira, XRay, Jenkins etc.
• Strong analytical and debugging skills.
• Exposure to Load and Performance testing and related tools

Desirable Skills  

• Understanding of CI/CD Pipelines.
• Experience testing workloads on AWS/Azure, including basic resource setup, debugging and monitoring (Cloudwatch etc).
• Exposure to generative AI using Cursor or similar tools. 

Qualification:

• B.Tech / B.E / M.E./ M.Tech or equivalent.

Role Overview:

• This is a foundational leadership role; the work here impacts how every product, customer, and partner experiences Kaseya. Role will be responsible for building and executing the Identity and API strategy for Kaseya's platform.  
• This position demands deep technical expertise in Identity platforms combined with strategic product thinking and cross-functional collaboration. 
• This role will work closely with product, security, legal, sales, and marketing teams across the organization to build foundational capabilities that become force multipliers for the entire platform. 
• This role shapes the core platform layer that enables engineering teams to build, automate, and operate software and AI-enabled systems reliably at scale.  

What will you do:

What You'll Do As a Principal Engineer, you will be the technical north star for our IAM and Control Plane strategy. Your role transcends individual features; you will be responsible for the long-term health and architectural evolution of our identity systems. Own the end‑to‑end technical design of IAM services, including identity lifecycle management, authentication, authorization, SSO, and privileged access controls, ensuring they are secure, scalable, and highly available. 

• Architectural Leadership: Lead the design and evolution of a secure, high-throughput, low-latency IAM systems that power both customer-facing and internal service APIs. Lead design and implementation of IAM integrations for SaaS, on‑prem, and cloud platforms, including federation (SAML, OIDC, OAuth), MFA, and Passwordless capabilities.
• Technical Strategy: Define the roadmap for migrating or scaling our legacy authentication and authorization systems into modern, distributed architectures.
• Cross-Functional Influence: Work closely with Product, Security, and UX teams to translate complex business requirements into robust, secure technical specifications.
• Mentorship & Excellence: Set the standard for engineering excellence through deep code reviews, technical design documents, and mentoring senior engineers.
• Operational Stewardship: Oversee the reliability of a platform under constant load, ensuring observability and resilience are baked into the core of the system.  

Required Skills:

• Extensive Experience: 10+ years of professional experience building and managing software applications at a massive scale (with at least 5 years at Sr Staff or Principal level).
• Identity Domain Expertise: Deep understanding of IAM protocols (OAuth2, OIDC, SAML), RBAC/ABAC models, and the security implications of session management at the edge. Experience with Active Directory and extensive experience implementing federation protocols (SAML, OIDC, OAuth2).
• Experience in Data Security or related areas and expertise in following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
• Distributed Systems Mastery: Proven track record in designing, architecting, and debugging large-scale distributed systems that handle global traffic.
• Language Proficiency: Deep knowledge of Go, Java, TypeScript, Rust, or similar is highly valued.
• API Stewardship: Significant experience designing and versioning public-facing APIs that are used by millions of developers.
• Recruit and mentor top-tier engineering talent to scale our security infrastructure. 

Desirable Skills:

• Observability Advocate: A passion for building "observable" systems using Prometheus, Grafana, and Kibana to proactively identify failures.
• Infrastructure as Code: Experience with modern containerized deployment (Docker & Kubernetes), Terraform, and infrastructure automation.
• Security Mindset: A background in security engineering or formal verification of protocol implementations.
• Strategic Delivery: A history of leading multi-quarter projects from conception to global rollout in partnership with product owners.  

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

Title: Senior Systems Engineer

Ensono’s mission is to deliver technology solutions that enable our clients to be great at what they do. We’re trusted by some of the world’s most successful companies because we deliver complete hybrid IT solutions and governance customized to each client’s IT journey. Our solutions address clients’ current needs and help them to adapt with ever-changing demands of tomorrow. 

About the role and what you'll be doing:

The Senior Systems Engineer plays a critical role in creating and maintaining the internal technology architecture. They must possess advanced technical knowledge and expertise in design and implementation to lead technology projects and define the strategic technology direction. Working with business management and IT staff, the Senior Systems Engineer identifies technology alternatives and provides solutions that meet business needs. They provide technical leadership on both small and large projects and possess the ability to understand technical issues, develop recommendations, and gain competency with IT processes. It is essential to note that this position requires being available for an on-call apart from regular working hours as per business requirement.

We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all the Preferred Qualifications, we still encourage you to apply.

Required Qualifications

• Bachelor's Degree from an accredited University, preferably in Computer Science or Information Systems, or equivalent experience 

• IT Industry Certifications are a plus (MCSE, VCP, CCNA, etc…) 

• Minimum 4 - 5 years of related IT Experience managing large enterprise environments, consisting of multiple global forests and complex GPO policies, RDS/Remote Access Administration, Citrix environments.

• Minimum of 4 - 5 years of experience managing Active Directory and Okta or equivalent Identity Management

• Minimum of 4 - 5 years of experience administering Office 365, Azure AD, AWS, Cloud and other Identity Managements solutions.

• Minimum 5 years of experience working with, and authoring scripts (preferred MS Powershell) focused on streamlining system administration, auditing, and reporting functions surrounding Microsoft Azure, Office 365, Active Directory, and Microsoft Exchange.

• Experience as technical lead in field of expertise 

• Experience implementing best-practice processes and procedures including ITIL 

• Experience leading small & large projects that require interaction with the business 

• Experience in environments with formal project management methodologies and practices 

Preferred Qualifications

Communications: 

• Document solutions, systems, and procedures 

• Consistently leads knowledge transfer efforts to other team members

• Identify and suggest process and/or procedure improvements 

• Deliver data insights in a format optimized for leadership decision-making

•  

• Delivers communication and measurable goals for assigned projects 

• Works effectively as an individual and as part of a team 

Issues Management and Resolution: 

·        Troubleshoot complex system, application, and hardware issues

·        Use external information to research and resolve issues when needed

·        Strong knowledge with regards to local policies, rights, and standards as well as having a solid grasp on how they come into play in the environment

·        Ability to manage multiple issues, priorities, and goals

·        Engages with external vendors to resolve issues as needed

·        Develop IT strategies to improve system management and response rate

 Administration: 

• Perform routine system maintenance in compliance with security standards.

• Tracking of configuration items

• Design, build and configure new hardware/software 

• Document and maintain security standards of various environments

• Perform installation and configuration of software including operating system, patches, and 3rd party products. 

Project Management: 

·        Drive completion of quality project deliverables, within time and budget 

·        Deliver projects for both IT and directly for the business 

·        Ensure quality control on all projects within area of responsibility

RESPONSIBILITIES

• Full understanding of virtual servers and operating systems, block, file, and object storage, and data protection
• Full knowledge to install and configure high availability compute solutions supporting business critical functions
• Understands how the whole picture aligns to overall Ensono strategy
• Understanding of multiple scripting languages to develop solutions for automation and reporting
• Work in a team to design computer system configurations
• Design and document procedures to apply operating systems patches, code and firmware updates to systems infrastructure
• Participate in primary design meetings for Client disaster recovery planning
• Proficiency in Operating system installation procedure
• Implement storage and data protection configurations
• Research system vulnerabilities and provide documentation for future use implementing corrective actions as required
• Develop guidelines and procedures for systems management including process and efficiency improvements
• Monitor and tune systems to identify and eliminate issues and potential bottlenecks
• Prepare periodic reports related to capacity and utilization
• Design and implement advanced network configurations within the virtual server configuration

QUALIFICATIONS

• Bachelor’s degree and a minimum of 8+ years of related experience or a Master's degree with 6 years of experience; or equivalent work experience
• Operating SystemsWindows 5+ years hands on administration of Windows OS environments and/or
• VMware 5+ years hands on administration of VMware environments and/or
• Linux 5+ years hands on administration with RHEL or other Linux environments
• Ability to manage multiple projects simultaneously, to include resources, priorities, and timelines
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Results oriented team player who will work towards meeting team commitments
• Experience with system configuration automation (Scripting with Pearl/Python/Bash or DevOps tools like Chef/Puppet)
• Ability to mentor technical operations staff in appropriate technologies, as needed
• Understanding of the competitive landscape from both business and technical perspective is a plus
• AWS experience in designing, provisioning, monitoring and managing the environment is a big plus
• AWS Certifications such as SysOps Administrator Associate, Solutions Architect Associate and Professional ITIL Foundations Certified is a plus
• Preferred certifications: Microsoft Certified IT Professional ﴾MCITP﴿ / Microsoft Certified Systems Engineer (MCSE) / Microsoft Certified Systems Administrator (MCSA) / Microsoft Certified Professional (MCP) / VMware Certified Professional – VCP / Red Hat Certified Engineer
• Experience with DevOps and Agile frameworks is a plus

TRAVEL:

up to 15%

About HG Insights

Headquartered in Santa Barbara, California, HG Insights is the global leader in technology intelligence. We help the world’s most innovative companies accelerate their go-to-market efforts with precision through advanced data science methodologies and proprietary data assets. We offer a culture that blends innovation, collaboration, and growth, where each team member is empowered to make a measurable impact.

Role Overview

We are looking for a Staff/Senior Machine Learning Engineer to join our growing AI and Data Platform team in Pune, India. In this role, you will be responsible for designing, building, and scaling ML systems that power our core data intelligence products. You’ll work at the intersection of data engineering and machine learning, collaborating closely with data scientists, software engineers, and product teams to turn models and agents into robust, production-ready systems.

This is a high-impact role suited for someone who thrives on ownership, scalability, and deploying real-world ML and AI solutions at scale.

Key Responsibilities

ML & AI System Development

• Design and build end-to-end ML pipelines, from data ingestion and feature engineering to model training, serving, and monitoring.
• Productionize AI agents, including LLM-backed workflows, multi-step tool use, and API orchestration.
• Collaborate with data scientists to bring experimental models into stable, high-performing production systems.
  
  

MLOps & Infrastructure

• Implement and maintain MLOps workflows (CI/CD for ML), tracking experiments, managing model versions, and automating retraining.
• Set up observability for models and agents, including tracing, logging, latency/error tracking, and fallback logic.
• Ensure infrastructure supports scalability, performance, and compliance requirements.
  
  

Technical Leadership & Collaboration

• Lead technical architecture for key AI and ML systems, ensuring maintainability and extensibility.
• Partner with product and platform teams to translate business needs into reliable and performant ML solutions.
• Mentor junior engineers and help elevate technical practices across the engineering org.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of industry experience, with at least 4+ years in ML engineering or MLOps.
• Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
• Experience deploying AI agents in production, including retrieval-augmented generation (RAG), multi-step reasoning, and tool-use orchestration.
• Familiarity with LangChain, LlamaIndex, Haystack, or similar frameworks for agent development.
• Hands-on with LLMs (OpenAI, Anthropic, Cohere, etc.), embedding models, and vector store integration.
• Expertise in MLOps tools like MLflow, Airflow, SageMaker, or Kubeflow.
• Experience with cloud platforms (preferably AWS), Docker/Kubernetes, and large-scale data systems (e.g., Snowflake, Databricks).
• Excellent problem-solving and system design skills, including CI/CD, testing, and infrastructure-as-code.
  
  

Preferred Qualifications

• Experience with streaming pipelines, online inference, and model monitoring at scale.
• Exposure to agent memory, feedback loops, or AI workflow orchestration in customer-facing products.
• Prior contributions to open-source ML or LLM projects are a plus.
  
  

Why Join HG Insights?

• Work on high-impact AI products used by global enterprise customers.
• Lead the ML engineering strategy and shape our AI platform.
• Competitive compensation and benefits tailored for India-based employees.
• A collaborative and innovation-focused team environment.
  
  

Ready to build the future of AI infrastructure? Apply now to join HG Insights as a Staff Machine Learning Engineer in Pune.

So, what’s the role all about?

We are seeking a highly skilled Senior Cloud DevOps Automation Engineer to join our team. The ideal candidate will have extensive experience in automating infrastructure and application deployment using a variety of tools and platforms. This role requires a deep understanding of DevOps practices, infrastructure as code, and cloud services, with a focus on Python programming, Kubernetes, Terraform, AWS, and Ansible.

How will you make an impact?

• Infrastructure Automation: Design, implement, and manage infrastructure as code using Terraform and Kubernetes for scalable and reliable infrastructure deployment.
• Cloud Management: Leverage AWS services to design and manage cloud infrastructure, ensuring high availability, security, and performance.
• Configuration Management: Utilize Ansible to automate configuration management, software deployment, and orchestration.
• Scripting & Automation: Write and maintain Python scripts for automation tasks, integrating various tools and services.
• Monitoring & Troubleshooting: Implement monitoring and logging solutions to ensure the health and performance of the infrastructure and applications, and troubleshoot issues as they arise.
• Collaboration: Work closely with development, PS, and operations teams to ensure smooth deployment and operation of applications.
• Security Compliance: Ensure that the infrastructure and deployment processes comply with industry security standards and best practices.

Have you got what it takes?

• Total 5+ and Programming Experience: 3+ years of development experience in Python. 
• Extensive experience with Kubernetes for container orchestration and management.
• Container deployments experience using helm. 
• Application deployment and configuration using ansible.
• Managing AWS infrastructure using terraform.
• In-depth knowledge of AWS services and best practices for cloud architecture and management.
• Strong knowledge of Linux/Unix systems
• Knowledge of Puppet
• Education Level: B.E/B.Tech/MTech/M.Sc. in Computer Science/IT preferred (or any engineering field considered) or equivalent.
• Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or similar certifications.
• Good coding skills in major languages such as Python or Perl
• Proven ability to learn new technologies quickly.
• Ability to work effectively with distributed team
• Ability to work in high pressure, highly flexible environment against both short and long-term objectives
• Passionate about technology and solving IT operations-focused problems.
• Must be detail oriented, task driven, and have excellent communication skills. Customer service focus is key.
• Ability to work effectively with staff, peers, and others in and outside the organization to accomplish goals, objectives and to identify and resolve problems

What’s in it for you?

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

Enjoy NiCE-FLEX!

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

Requisition ID: 10338
Reporting into: Director
Role Type: Individual Contributor

Responsibilities

• Lead development and optimization of a key dataplane module for SonicWall NGFW platforms.
• Design, implement, and enhance high‑performance packet‑processing paths using DPDK/ODP/OFP or similar frameworks.
• Diagnose and resolve complex performance, throughput, and latency issues in the dataplane.
• Collaborate with platform, networking, security, and QA teams to deliver features and product improvements.
• Prototype and evaluate new dataplane technologies, contributing to next‑gen NGFW capabilities.
• Influence architectural decisions, scalability strategies, and long‑term technical direction for dataplane components.

Requirements

• 6+ years of experience in C/C++ systems‑level development for networking or embedded platforms.
• Strong hands‑on expertise in DPDK, ODP, OFP, or similar high‑performance packet‑processing frameworks.
• Solid understanding of L3/L4 networking protocols, including IPv4/IPv6, routing, NAT, VPN/IPsec/SSL, and related protocols.
• Proven ability to build multi‑threaded, low‑latency, high‑throughput systems.
• Strong knowledge of OS internals, memory and concurrency models, and network stack behaviour.
• Excellent debugging, performance tuning, and system analysis skills.
• Strong communication and teamwork skills, with the ability to drive cross‑functional technical discussions

#LI-DS9

#LI-Pune

#LI-Hybrid

Responsibilities

• Lead development and optimization of a key dataplane module for SonicWall NGFW platforms.
• Design, implement, and enhance high‑performance packet‑processing paths using DPDK/ODP/OFP or similar frameworks.
• Diagnose and resolve complex performance, throughput, and latency issues in the dataplane.
• Collaborate with platform, networking, security, and QA teams to deliver features and product improvements.
• Prototype and evaluate new dataplane technologies, contributing to next‑gen NGFW capabilities.
• Influence architectural decisions, scalability strategies, and long‑term technical direction for dataplane components.

Requirements

• 6+ years of experience in C/C++ systems‑level development for networking or embedded platforms.
• Strong hands‑on expertise in DPDK, ODP, OFP, or similar high‑performance packet‑processing frameworks.
• Solid understanding of L3/L4 networking protocols, including IPv4/IPv6, routing, NAT, VPN/IPsec/SSL, and related protocols.
• Proven ability to build multi‑threaded, low‑latency, high‑throughput systems.
• Strong knowledge of OS internals, memory and concurrency models, and network stack behaviour.
• Excellent debugging, performance tuning, and system analysis skills.
• Strong communication and teamwork skills, with the ability to drive cross‑functional technical discussions

#LI-DS9

#LI-Pune

#LI-Hybrid

#LI-DPDK

About Anchanto:

Enabling Simpler, Faster and Scalable eCommerce Operations, our mission is to simplify backend eCommerce operations for businesses of all sizes through our innovative & intelligent SaaS platforms. We aim to transform the way businesses conduct eCommerce in the region, while aggressively moving towards becoming the most customer-centric company in our domain.

Our offices are spread across Singapore, Kuala Lumpur (Malaysia), Jakarta (Indonesia), Manila (Philippines), Sydney (Australia), Bangkok (Thailand), Seoul (South Korea), and Pune (India). Our diverse and multicultural fabric is woven in a way that each Anchanter gets complete freedom and opportunity to realize & explore his/her full potential.

We pride ourselves in building awesome & powerful products that have the potential to change the way businesses perceive eCommerce management. We believe in delivering anchanting experiences and aim to become the #1 customer-centric company in our domain.

The Role:

We are seeking an experienced Senior Manager who will own our IT infrastructure and lead the DevOps team. This role will be responsible for establishing and maintaining the enterprise vision, strategy, and program to ensure that information assets and technologies are adequately protected.

You will be identifying, developing, implementing, and maintaining processes across the enterprise to reduce information technology (IT) risks. You will respond to incidents, establish appropriate standards and controls, manage security technologies, and implement policies and procedures. You will also be leading the DevOps team to help automate the build, deploy and release management of our software.

Key Responsibilities:

IT Infra management

• Defining, scoping, creation & execution of IT & data security standards and strategies and measure adherence.
• Firewall settings, WAF, security settings across tech stack, hardening and patching compliances and other Information Security Activities
• Best Practices implementation for User Access Review for all application
• Preparing, reviewing, updating, evidence management of all IT security related policies and procedures.
• Enhancing the reliability and security of the IT systems, internal IT communication channels, projects, and underlying data.
• Accountable for vulnerability assessment and IT Security Audits. Closure of all the observations
• Ensure compliance with any related legislation, such as the Data Protection Act, ISO standards or relevant government regulations.
• Manage incidents related to information security.
• Best Practices in conducting the 3rd party vendor audit on Data and Information Security.
• IT Security Awareness Programs. Oversee staff training in all the latest security awareness skills, check associated protocols, methodologies and procedures are implemented.

DevOps management

• Lead a team of DevOps engineers and DBAs to help setup product builds, Continuous Integration setup, manage and monitor build delivery to all environments.
• Establish the process and be the process champion for the end-to-end Development-Operationalization process
• Create, manage & own automation tools & scripts, configuration management of platform technologies
• Monitor Continuous Integration build systems and proactively debug issues working with dev teams
• Plan the deployment in conjunction with change and knowledge management and configuration management
• Work closely with the development team to leverage the existing frameworks and tools to improve build system productivity.
• Operationalize monitoring and uptime of all environments

Required skills & qualifications:

• Excellent experience with various automated deployment, configuration management and software build tools, Dockers, Kubernetes, GitHub, GitHub actions, Jenkins/Maven, Chef, Puppet etc.
• At least 3+ years of experience as DevOps manager and IT infrastructure leader and prior hands-on experience as DevOps engineer/lead
• 10+ years of experience in the field of security covering the key responsibilities listed above.
• In-depth knowledge of relevant standards such as ISO 27001 / SOC2
• Excellent experience on AWS infrastructure management and tools such as CloudFormation
• Must have strong prior hands-on DevOps experience.
• Deep understanding of version control systems, including branching and merging strategies
• Strong background in Linux/Unix server system administration
• Hands-on experience with GitHub required.
• Bachelors or Master’s degree in related technical field

Good to have:

• Certifications such as CISM / CISSP / CRISC
• Good understanding of current legislations and regulations, standards & audit terminologies.

Benefits of working with Anchanto:

• A chance to build career with a fast growing global SaaS tech company
• An opportunity to collaborate with global teams
• Competitive salary package
• Amazing work-life balance
• Learning opportunities
• Work hours: 09:00 AM to 06:00 PM Local Time

We are an equal employment opportunity employer and promote diversity; actively encouraging applicants all backgrounds, ages, LGBTQ+, and those with disabilities to apply.

About the Role

Join us as a Full Stack Staff Engineer to lead the evolution of the AlphaSense Application Portfolio through robust architecture and cutting-edge AI integration. This role is designed for a seasoned engineer who thrives on solving massive-scale frontend challenges and building performant, customer-focused systems. You will act as a strategic lead—researching and architecting solutions for complex frontends, while fostering a culture of technical excellence across the team. If you are looking to combine hands-on AI innovation with high-impact organizational leadership, this role is for you.

What You’ll Do:

• Serve as the Architectural Anchor for integrating AI into the product fabric. You will research, prototype, and deploy cutting-edge solutions using LLMs and the latest frontend technologies, ensuring these models are not just theoretical but are seamlessly integrated into high-performance, user-facing applications.
• Design the frontend architecture that serves as the gateway to our AI platform. You will build robust, scalable interfaces capable of rendering insights from millions of documents with sub-second latency. By bridging the gap between complex AI services and the end-user, you will ensure that massive-scale data is transformed into performant, intuitive, and highly responsive web applications.
• Partner with cross-functional, distributed teams to evaluate and adopt emerging technologies, while leading the seamless integration and optimization of intelligent features and high-impact workflows across the platform
• 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

• 8+ years of experience building complex, data-intensive full-stack systems, with 5+ years specifically scaling production-grade services using Node.js, GraphQL, and modern JavaScript/TypeScript ecosystems.
• Deep expertise in React and TypeScript; a proven ability to codify performance best practices, navigate complex architectural trade-offs, and drive code-level improvements.
• Proven success in designing large-scale asynchronous systems using streaming, queuing, and caching strategies, supported by robust observability (logging, metrics, tracing).
• Strong proficiency with SQL/NoSQL (e.g., DynamoDB, Elasticsearch, Vespa) and cloud-native development within AWS or GCP.
• Working knowledge of Python or Java/Spring.
• Passion for AI-assisted development (e.g., Cursor, Claude) 
• Exceptional communicator able to articulate complex technical concepts and influence engineering direction across multiple teams without direct authority.
• Prior experience at global technology companies or high-growth product organizations with a high-bar engineering culture.

Nice to have

• Proficient in modern DevOps/MLOps, including CI/CD, IaC, and automated testing frameworks.
• Hands-on experience with Docker and Kubernetes for containerized application delivery.

Practical experience deploying LLM applications, agentic frameworks, or scalable AI infrastructure.

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 Senior Staff 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

• 10+ 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 Senior Staff 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

• 10+ 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 Druva 

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

The Foundation team at Druva is responsible for designing a highly performant and scalable cloud file system on the Druva cloud in AWS.  This file system is used to back up billions of files per day, translating to millions of metadata requests per second across regions. To build this petabyte-scale, distributed, services-oriented cloud file system, various key concepts like file system metadata, versioning, and eventual consistency are used along with leveraging various AWS services like S3, DDB, and Kinesis. A purpose-built key-value store is used for managing these metadata requests.  While the core file storage engine provides the backup storage for all the Druva products, allied components like the indexing engine, key-value store, and big data pipeline provide scalable search, analytics, and compliance services. The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background.

As a Sr. Software Engineer in the filesystem team, you will be providing technical ownership to create high-quality software by owning the design and implementation of features within the filesystem. This role will require excellent communication skills as you will collaborate with architects and other senior engineers to refine requirements, and other product owners to drive features to completion with good quality. 

Some of the key areas the team is working on 

• Improving resiliency of the filesystem with periodic incremental consistency checks, both for petabytes of metadata and hundreds of petabytes of data residing in the cloud.  Metadata versioning and change tracking.
• Third-party secondary storage appliance integration for data centre data protection.
• Extend the filesystem to store a variety of workloads beyond files/folders, e.g., emails and messages
• Optimise the filesystem for cost using  strategies and algorithms to reduce cloud cost  (eg. leveraging cheaper cloud storage tiers and reducing IO requests)
• Develop tools that help debug production issues more efficiently

Key Skill

• 6+ years of experience, preferably in a product company with exposure to storage architectures.
• Strong demonstrable experience in systems programming, especially in multithreading, synchronization, fault tolerance and data consistency at scale.
• Hands-on experience in the design and development of complex products. 
• Extensive hands-on experience in Go/Python/C/C++/Java on Unix/Linux platforms.

A strong understanding of complex concepts related to computer architecture, data structures, algorithms, design concepts, and programming practices.

• Experience in working with SoA (Service-oriented Architecture), especially in the service’s backend. 

 Desirable Skills:

• Excellent written and verbal communication skills
• Experience in Cloud Technologies (preferably AWS) will be advantageous
• Working knowledge of Docker and Kubernetes will be an advantage
• Working knowledge of storage and file systems, including file system consistency checks.
• Hands-on experience using generative AI for codegen

Role and Responsibilities:

• The Sr. Software Engineer's role is to be the technical owner in building enterprise-grade, scalable, performant systems which deliver the required functionality 
• Should be able to design and implement sufficiently large and complex features and/or architectural improvements to the product.
• Suggest and propose solutions to complex design problems.
• Identify areas of engineering improvements to the product and work with product architects and the team to address them.
• Should be able to technically guide junior engineers with feature design and implementation.
• Review the design and implementation done by junior engineers.
• Should be able to independently handle complex escalations and guide others as required.
• Be able to write technical blogs and make technical presentations in internal and external forums

Qualification

• B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent

About Druva

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

As a Senior Staff Software Engineer - Escalations, you will be responsible for fixing product bugs and delivering code changes to the Production part of product reliability, resiliency, stability & sustenance for all Druva SaaS Customers.

This role will require excellent communication skills as you will collaborate with Product Management, CloudOps, Development & Customer-Facing Teams to refine requirements, product architects to propose architectural changes, and other product owners to drive features for usability/supportability/quality. 

Key Skills:

• 6 -9 years of experience in a combination of Development and Sustenance roles.
• Extensive hands-on experience in Go/Python/C/C++  on Unix/Linux or Windows platform
• Excellent programming skills along with Data structures, Algorithms, and Design Concepts
• Strong problem-solving skills and demonstrated ability to articulate and present technical solutions.
• Strong interpersonal and communication skills, both written and verbal, with the ability to develop and maintain working relationships at all levels, both with customers and internal stakeholders.
• Experience in enterprise software, deep knowledge of software development including threading, network, and disk IO, data transformations, data integrity, systems management, systems administration, and monitoring.

Desirable Skills:

• Exposure to specific technologies around Office 365/VMWare/HyperV/Nutanix/Oracle/MSSQL
• + years of software development experience in C/C++/ Python/Golang
• Experience in the development of complex, scale-out, distributed systems based on Service Oriented Architecture/Micro services
• Experience in Cloud Technologies (preferably AWS)
• Knowledge of the Backup or Storage domain will be an advantage. 

Role and Responsibilities:

• Suggest and propose solutions to complex design problems for respective technology/workload.
• Fix Product Bugs and deliver code changes to Production.
• Work closely with the Sales/Tech Support/Customer Success/Professional Services team assisting them on their POCs and Implementation Projects. 
• Own and drive the Cloud Production issues for investigation and RCA, delivering a solution and working with the extended development teams.
• Drive validation of future releases in a staging environment for customer use cases, a gatekeeper for product release and quality assurance.
• Partner with respective scrum teams and Product Management for feature design & product improvements.
• Ensure communication flows well cross-functionally for product updates and known issues.

Qualification

B.Tech/B.E/M.E/M.Tech (IT or Computer Science) or equivalent

About Druva

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

About Role :  

The Foundation team at Druva is responsible for designing a highly performant and scalable cloud file system on the Druva cloud in AWS. To build this petabyte-scale, distributed, services-oriented cloud file system, various key concepts like file system metadata, versioning, and eventual consistency are used along with leveraging various AWS services like S3, DDB, and Kinesis. While the core file storage engine provides the backup storage for all the Druva products, allied components like the indexing engine, key-value store, and big data pipeline provide scalable search, analytics, and compliance services. The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background.

We are looking for a Senior Staff Software Engineer who is passionate about building highly scalable, secure, and performant infrastructure components that form the core of our data protection and data management platform. This role is ideal for someone with a deep understanding of systems programming, distributed storage, and cloud-native architecture and is looking to solve complex technical problems at scale.

We prefer candidates from Tier-1 institutes (IITs, NITs, BITS Pilani, IIIT-H, IISc) or those who have demonstrated exceptional systems-level depth through impactful work in high-scale backend systems, infrastructure platforms, or storage/security products.

Key Responsibilities

• Own the architecture, high-level and low-level design of data protection and data management services and frameworks.
• Design and implement secure, resilient, and highly scalable microservices using Python or Golang, following SaaS-first principles.
• Collaborate with architects, product managers, DevOps, and peer engineering teams to build storage and data services that manage data and metadata at scale.
• Continuously evaluate and integrate emerging technologies and tools to refine existing platforms and enhance product capabilities.Drive the adoption of best practices in system design, observability, testing, and CI/CD pipelines for high-quality releases.
• Mentor and guide junior team members in systems design, data protection principles, and high-velocity product development.
• Stay hands-on and contribute actively to feature delivery, incident handling, performance tuning, and code reviews.

Must-Have Skills

• AI first mindset to software development, having experience using genAI during various phases of software development lifecycle from design to code to test using tools like 'cursor'
• 5 -7 years of experience, preferably in a product company, building global scale distributed SaaS applications that handle petabytes of data.
• Expertise in Python or Golang with a focus on scalable, performant systems.
• Strong experience in cloud-native storage systems, metadata management, or distributed data pipelines.
• Hands-on experience building storage, backup, archival, or data protection products is highly desirable.
• Deep knowledge of cloud platforms like AWS or Azure and container orchestration using Kubernetes/Docker.
• Experience with event-driven architecture, message queues (Kafka/RabbitMQ), and gRPC/REST APIs.
• Familiarity with observability tools like Prometheus, Grafana, ELK, or Datadog.
• Solid understanding of system performance, multi-threading, and concurrency control.

Desirable Skills

• Prior experience with data security frameworks, encryption, key management, or compliance-focused features.
• Exposure to CI/CD tools like GitLab CI, CircleCI, or Jenkins.
• Agile development experience (Scrum/Kanban).
• Strong problem-solving, system debugging, and communication skills.

Ideal Candidate Profile

• Comes from a Tier-1 or Tier-2 engineering institute or has demonstrated deep backend systems expertise.
• Has built or worked on platform-level components used by multiple engineering teams.
• Enjoys tackling low-level system problems, scaling challenges, and performance bottlenecks.
• Has a product mindset, and collaborates well across teams to align tech design with business outcomes

Qualification: 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Role Summary

We are seeking a highly skilled Test Staff Engineer with deep expertise in Firewall/Security testing and strong hands-on automation. This role requires technical leadership, end-to-end ownership of test strategy for assigned components, and building scalable automation and test tools to ensure high-quality SonicOS releases.

Key Responsibilities

• Own test strategy, planning, execution, and quality sign-off for SonicOS components
• Architect, develop, and maintain automation frameworks, pipelines, and test tools
• Drive an automation-first regression strategy and improve overall test coverage
• Perform complex system, integration, and upgrade/downgrade testing
• Partner with Dev/PM in design reviews, scrums, and defect triage
• Lead root-cause analysis and validation of critical customer issues
• Mentor engineers; review test plans, automation design, and coverage
• Drive release readiness, escape analysis, and quality metrics

Must-Have Skills

• Strong Networking: TCP/IP, Routing, NAT, VLANs, Firewall policies
• Firewall/Security: VPN, DPI/App Control, IPS, Gateway AV, Geo-IP, Botnet
• Automation: Playwright / Selenium / PyTest / Robot Framework
• Programming: Python or JavaScript (framework/tool development)
• Linux/Unix, debugging with logs, core dumps, packet capture (tcpdump/Wireshark)
• CI/CD integration (Jenkins, Git-based pipelines)
• Defect tracking & test management (JIRA or similar)
• Exposure to effective usage of AI tools

Good to Have

• Experience with signature-based services & live update pipelines
• Cloud test environments (AWS/Azure)
• Handling customer escalations/field issue reproduction

Soft Skills

• Technical leadership, strong ownership, and decision-making
• Excellent debugging and communication skills
• Ability to lead quality initiatives across teams

Education

• B.E / B.Tech / M.Tech in CS/IT or related fields

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About the Role:
As a Senior AI Engineer, you will help architect, build and implement our AI platforms, working closely with data quality engineers, data/software engineers, platform engineers, DevOps, product owners and business.  You provide technical leadership for multiple, diverse, and geographically distributed teams. You will coach and guide teams to enable future success. Also be a partner with engineering managers, directors and VP on strategic initiatives and future business growth opportunities especially around AI and ensuring the engineering organization can scale to meet the need.

As a member of the engineering team, you are responsible for coaching, mentoring, and driving change to enable us to better deliver and innovate in an agile environment.

Your day to day:

• Help shape the direction of our applied AI areas and intelligence features in our products. Drive the deployment of state-of-the-art AI models and systems that directly impacts on the capabilities and performance of Abacus’s products and services (e.g., Abacus Agents, MCP, SQL and RAG agents and tools, etc.)
• Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains
• Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation, iteration and self-healing
• Work closely with cross-functional teams, including AI engineers, data engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction
• Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model and GenAI system performance
• Skillful at driving critical projects (e.g. AI and data engineering Innovation, Development Productivity and Benchmarking)
• Meaningful experience in the world of Data and AI
• Capable of credible customer interactions
• Mentoring development team members to ensure delivered solutions adhere to the software architecture strategy, coding standards, and established organizational policies and procedures
• Participating in software architectural discussions, influencing decisions, and collaborating with peers to maintain consistency across the organization
• Identifying people and process improvement strategies for the Agile/Scrum team(s), especially for AI projects/teams where innovation and iteration are critical
• Communicate organizational updates to ensure teams adhere to the established policies and procedures
• Ensure projects are completed on time and according to our quality standards
• Facilitates communication upward around architecture, design, and implementation objectives
• Proven experience in leading software development teams or projects
• Excellent knowledge of software development design, QA and test automation, and experience with agile development methodologies
• Demonstrated knowledge of Cloud Architecture, AI Architecture, Agents/Agentic systems, Massive Parallel Processing (MPP) compute frameworks for Data+AI platforms, Security, and MCP/API based services
• Good understanding of Incident Management, Configuration Management, Operational efficiency and Customer Escalation Management preferred. Can manage the balance of deliveries on our roadmap commitments while dealing with interruptions and client escalations
• Good experience with open source
• Coach and mentor software and AI developers, develop staff skills, provide continuous feedback 
• Has relentlessly high standards (is never satisfied with the status quo)
• Responsible for protecting, securing, and proper handling of all confidential data held by Abacus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Abacus or our clients.

What you bring to the team:

• Minimum of 3 years of ML/AI engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML/AI research in academia will be considered as contributing qualification
• Minimum of 3 years of experience as a software developer at some point in career
• Minimum of 2 years of experience with Databricks, Mosaic AI Gateway and associated technologies in Databricks stack related to Data and AI engineering
• Strong track record of working with language modeling technologies and GenAI. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, evaluation benchmarks, Agents and Agentic workflows (e.g. orchestration, workflow management, observability, debugging), RAG, SQL Agents, MCP, etc.
• Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architecture
• Ability to drive end-to-end model and system development, from research and prototyping to deployment and monitoring
• Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment
• Experience and good understanding of designing scalable, distributed systems for running small to medium scale data processing applications and services (10s – 100s of TBs of data)
• Possesses a level of breadth and depth of software and AI development experience that allows for influence and competence in technical discussions with internal and external stakeholders
• Solid understanding of roles adjacent to the software development (product management, project management, client delivery, operations etc.). Ability to adapt to these roles as defined at Abacus and work with others in these roles
• Proven record of success of driving and/or leading engineering teams/projects towards developing production grade systems supporting customers
• Nice to have experience with, but not required: Snowflake, FHIR, Healthcare Data exposure

What you’ll get in return 

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

Work arrangements 

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

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

Product Group: TrustRadius is a B2B technology decisioning platform that helps buyers make confident software purchase decisions and enables vendors to activate high‑intent, in‑market buyers through rich review content and intent data signals. As part of HG Insights, TrustRadius powers data‑driven go‑to‑market strategies for leading B2B technology brands worldwide.

Job Title: Principal Engineer

Role Overview

We are looking for a Principal Engineer – Engineering to provide technical thought leadership for our vendor‑side data platform and pipelines. This is a senior individual contributor role (IC) with Principal Engineer scope, responsible for the architecture, evolution, and reliability of our microservices and data pipelines that power vendor lead generation, intent resolution.

You will set the long‑term technical direction, mentor senior/staff engineers, and stay hands‑on in critical code paths across NestJS/Node.js, TypeScript, Python data pipelines, and event‑driven services.

Key Responsibilities

• Own the end‑to‑end architecture for data ingestion and processing pipelines, from external data sources through Airflow‑orchestrated Python workflows into storage on S3 and downstream services.
• Design and evolve microservices built with NestJS/Node.js and TypeScript, exposing APIs for lead generation, vendor management, and intent resolution at scale.
• Define and drive database architectures across PostgreSQL and MongoDB and Elastic, including complex data models for B2B lead scoring, vendor relationships, and customer analytics.
• Provide technical thought leadership to create and grow an agile, high‑performing engineering team culture around CI/CD, trunk‑based development, testing, observability, and rapid iteration.
• Lead the adoption of real‑world AI/ML in engineering workflows (code generation, code review, test generation, incident analysis) to materially improve development speed and quality.
• Partner with product and marketing to design data and service architectures that maximize content/intent data pipelines that make TrustRadius a top‑ranked destination for vendors and buyers.
• Implement and evolve secure authentication and authorization patterns using Auth0, OAuth2, and JWT for a multi‑tenant SaaS platform serving enterprise customers.
• Integrate and scale third‑party services such as LinkedIn APIs, intent enrichment, Salesforce CRM, and payment processors, with robust resilience, observability, and fault‑tolerant retry strategies.
• Architect and optimize event‑driven systems on Google Cloud Pub/Sub for real‑time data processing, enrichment, and inter‑service communication.
• Drive performance and cost optimization of APIs and data pipelines, including caching strategies, query tuning, horizontal scaling, and right‑sizing of cloud resources.
• Champion best practices for data quality, governance, and monitoring across vendor data feeds and internal platforms to ensure accurate, trusted signals for downstream analytics and GTM activation.
• Mentor Engineers, providing guidance on system design, trade‑offs, and long‑term roadmap, while influencing technical decisions.

Core Technical Skills

• Expert‑level experience designing and building large‑scale backend systems and microservices with NestJS/Node.js and TypeScript.
• Strong hands‑on experience with Python data ingestion and ETL/ELT pipelines, ideally orchestrated using Apache Airflow and cloud object storage such as S3.
• Deep understanding of relational and NoSQL database design, specifically PostgreSQL and MongoDB, including schema design, indexing, and performance tuning.
• Proven experience with secure authentication/authorization in SaaS environments using Auth0, OAuth2, and JWT.
• Strong background integrating external APIs and SaaS systems.
• Hands‑on experience with event‑driven architectures and messaging systems.
• Solid understanding of cloud infrastructure (preferably GCP), containerization, CI/CD pipelines, and production observability (logging, metrics, tracing).

Nice‑to‑Have Skills

• Experience with MCP architectures and tools development.
• Practical knowledge of machine learning techniques applied to data pipelines.
• Experience in content/intent‑data‑driven products, especially in B2B SaaS or marketplaces.
• Familiarity with data platforms in the B2B buyer intent or intent data provider space.

Business Outcomes and Impact

In this role, you will be accountable for:

• Building and sustaining an agile, high‑impact engineering culture through technical thought leadership, standards, and mentorship.
• Demonstrable improvements in engineering efficiency and quality through AI‑assisted tooling, automation, and better platform abstractions.
• A continuously evolving, scalable data and service architecture that strengthens TrustRadius’s position as the number‑one destination for SEO and GEO‑driven software buying traffic, and as a key provider of high‑quality intent data to vendors.