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Added July 23, 2026
What the posting asks for: - About 1 year of experience handling cases in compliance, fraud, risk or trust and safety (the role states 1 to 3 years and welcomes people early in their careers). - Fluent written and spoken English, since almost all of the work is written customer contact. - A habit of writing clear internal and external documentation. - Comfort with critical thinking to spot and stop fraudulent activity. The day to day: you respond to customers over email, chat and calls, guide them through compliance and account verification, evaluate alternatives when something is blocked, and resolve account suspensions. You file clean internal reports and add to the knowledge base as you go. Location and hours: fully remote within India. This is a 24/7 team, so expect a rotating shift schedule that can include one or both weekend days. Read the shift terms before you apply. Honest read: one of the few genuinely entry friendly, fully remote roles on this list. It is customer facing support rather than software development, so pick it if you like the investigative, people facing side of a technical product.
What the posting asks for: - 3+ years of hands on Salesforce development with Apex, Lightning Web Components (LWC) and SOQL. - Experience with Apex controllers, Apex web services, Apex callouts and integration design. - The judgement to understand the underlying business problem, weigh solution alternatives, and balance speed against quality. - Comfort managing large volumes of data and building reportable, intuitive systems for non technical end users. The day to day: you evolve a Salesforce data model that stays scalable and reportable, build custom functionality with Apex and LWC, take part in technical analysis and integration design with architects, review incoming code, and refactor the existing codebase for maintainability. Location: fully remote within India. Honest read: this is a software development role, but it lives on the sales systems side of the house. If you are a Salesforce engineer who wants to work closer to the business and own more than tickets, it fits. If you want product engineering away from CRM, it will not.
What the posting asks for: - Overall 3+ years of experience, with a deep understanding of email infrastructure and deliverability. - Strong technical troubleshooting plus the diplomacy to handle customers whose issues carry costly, far reaching consequences. - Ability to read APIs and SDKs well enough to act as a subject matter expert. - Comfort filing reproducible bug reports (JIRA) and collaborating with product and engineering over Slack. The day to day: you resolve customer issues over the support channel, feed customer signal back to product and engineering, work with developers and architects on complex problems, and contribute to internal and external documentation. Location and hours: remote within India, supporting EMEA. Current shift is 12pm to 9pm or 1pm to 10pm IST, on a five day roster (Mon to Fri, Tue to Sat, or Sun to Thu) that can include weekend days. Confirm the shift before applying. Honest read: a remote, mid level support engineering role for someone who already knows email or messaging infrastructure. The shift timing is the real trade off, so weigh it honestly.
What the posting asks for: - 8+ years writing production grade code, with real experience building and operating high scale distributed systems (several thousand events per second and processing engines handling 1M+ events per second). - A Bachelor's or Master's in Computer Science, Engineering or a related field. - Depth in designing for high availability, throughput and eventual consistency, plus reliability and security of the platform. - The ability to act as a team tech lead and mentor other engineers on architecture. The day to day: you design and ship high scale routing for the Segment data pipelines, build and optimise globally available distributed systems, partner with product and other Segment teams, and support platform reliability and security. Location: fully remote within India. Honest read: a genuine Staff level distributed systems role. Twilio notes it welcomes non traditional paths, but the 8+ year bar and the 1M events per second scale are real. Best for engineers who have operated data platforms at scale and want a remote seat with technical leadership.
GitLab does not state a years requirement anywhere in this posting, so we have left the experience figure blank rather than invent one. Judge fit on the substance below. What the posting asks for: - Strong backend engineering in Go, applied to high throughput, multi component systems. - Experience with core system design: ingestion, transport, replication, query serving and query oriented storage. - Familiarity with the surrounding stack: ClickHouse or similar column stores, NATS or comparable messaging, gRPC, and deployment across multiple environments. - Comfort owning reliability, operability and production readiness end to end. The day to day: you design and evolve Go backend services for the Data Insights Platform and Siphon, own significant parts of the architecture including the gRPC integration with GitLab Rails, and drive safe rollout across SaaS, Dedicated and Self Managed environments. Location and ways of working: GitLab is all remote and asynchronous. The posting is tagged Bangalore, India, which in GitLab terms means remote within India. Some GitLab roles carry location based eligibility, so confirm yours. Honest read: a strong remote backend role for a Go engineer who likes data infrastructure. No stated years, so do not rule yourself out on seniority alone.
GitLab does not state a years requirement in this posting, so the experience figure is left blank rather than guessed. This is a Staff level role, so expect the bar to be high. What the posting asks for: - Strong distributed systems instincts: durability, tenant isolation and horizontal scalability, and the judgement to tell a design that is durable from one that only looks durable under light load. - Go backend depth and the ability to decompose complex architecture into shippable work for a team. - Experience owning reliability end to end and migrating production workloads off legacy systems without disruption. The day to day: you lead technical execution on the consolidated messaging and event platform, solve high complexity problems, set and hold the technical bar, and own the migration of existing production traffic off Sidekiq and the legacy event bus. Location and ways of working: all remote and asynchronous. Tagged Bangalore, India, meaning remote within India in GitLab's model. Some roles carry location based eligibility, so confirm yours. Honest read: a rare remote, Staff level distributed systems seat with real architectural ownership. Narrow pool, since durable multi tenant messaging is a specific skill, which cuts both ways.
GitLab does not publish a years figure for this role, so we have left it blank. It is pitched at Senior level, hands on. What the posting asks for: - Strong engineering skills combined with systems thinking and genuine business understanding. - Practical fluency with LLM and agent based systems, and the judgement to know when AI is not the right tool. - The ability to own initiatives end to end, from stakeholder discovery and design through deployment and iteration. - Comfort delivering working prototypes fast and measuring real outcomes. The day to day: you diagnose business problems before building, map workflows and constraints, and ship AI powered solutions into Sales, Marketing and Customer Support systems. You take ownership from discovery to production and iterate on what the data shows. Location and ways of working: remote within India, asynchronous, reporting to the Director, Enterprise AI. Some GitLab roles carry location based eligibility, so confirm yours. Honest read: an applied, internal facing AI engineering role for someone who leads with the problem, not the model. If you want frontier model research this is not it. If you want to ship AI that changes how a company works, it is a strong remote option.
What the posting asks for: - 3+ years building large scale data systems (petabyte scale processing, distributed data pipelines or comparable). Exceptional early career candidates with a strong systems background will also be considered. - A BS or MS in Computer Science or a closely related field, or equivalent demonstrated experience. - Hands on experience with data curation and filtering for LLM training, and the ability to defend the choices in a corpus you helped build. - Depth in distributed data frameworks (Spark, Ray, Beam, Dask or equivalent) and the storage underneath, plus strong Python and comfort with tokenization, sharding, packing and IO tradeoffs. Nice to have: experience with large open pretraining corpora, model based quality classifiers, contamination detection, or data attribution research. The day to day: you build ingestion, parsing, filtering, dedup, tokenization and packing pipelines at petabyte scale, improve quality filtering, own mixture and curriculum design with the research team, and build tooling so researchers can slice and debug the data. Location: Bengaluru. Honest read: a serious data engineering role at a pretraining lab. The 3+ years is a soft floor, so strong systems focused early career engineers should still consider it.
What the posting asks for: - 3 to 5 years in frontend engineering, shipping production web applications. - Strong React and TypeScript (hooks, context, custom abstractions, performance optimisation), described as non negotiable. - Hands on Next.js with the App Router, server components, API routes and middleware, also non negotiable. - Experience with state management at scale (React Query, Redux, Zustand or similar). The day to day: you build Studio's core media workflows (video and voice dubbing, voice cloning), own a visual node based pipeline editor, implement real time job progress tracking, build in browser recording and media playback, work in a Next.js monorepo, extend a shared design system, and instrument features with analytics and error monitoring. Location: Bengaluru, high ownership role on a small team. Honest read: an unusually substantial frontend role, closer to product engineering than UI work, at an Indian AI company solving hard media problems. If you want deep React and Next.js work with real product impact, it fits well.
What the posting asks for: - 5 to 10 years building production backend systems, with deep Python and FastAPI (or Golang). - A track record of full stack ownership: designing systems end to end, making the tradeoffs, and operating them in production. - Hands on workflow orchestration at scale, ideally Temporal. - Strong PostgreSQL and Redis fundamentals (schema design, query performance, caching strategy), and experience with high scale, multi tenant, low latency distributed systems. Nice to have: building products on top of LLMs or ML systems, a telephony, VoIP or SIP background, and time at an early or growth stage startup. The day to day: you own the backend for agent, campaign and user management from data model to deployment, run workflow orchestration with Temporal, own performance and reliability at sub second SLOs, build observability and integration testing, and set a design first, documentation first culture (RFCs before code). Location: Bengaluru. Pure individual contributor Staff role, no people management. Honest read: a strong senior backend seat for someone who wants system ownership without moving into management.
What the posting asks for: - 4+ years preferred, but Sarvam hires across levels: strong AI fundamentals, range across the stack, high agency and a clear track record of shipping matter more than years. - A technical degree in Computer Science, Electrical Engineering or equivalent. - Deep, practical understanding of how LLMs and agents work in production: context engineering, memory, RAG, tool use, structured outputs and real failure modes. - Experience with agentic frameworks (LangGraph, LlamaIndex, Google ADK or equivalent) and both open and closed source models. Nice to have: deploying AI systems in regulated environments (BFSI, public sector) or with on premise and VPC deployments. The day to day: you embed with clients, scope and design end to end AI systems, build integration scripts and platform configuration, deploy into the customer environment, set up evaluations that measure whether the system works, and bring field learnings back to product and research. Location: Bengaluru, client facing engineering role. Honest read: an engineering role, not a support one, but one where half the job is with customers. It suits a high agency generalist. Because Sarvam hires across levels, do not rule yourself out on years alone.
What the posting asks for: - At least 5 years as a Machine Learning Engineer, with proven experience taking ML systems to production. - Strength across the full lifecycle: data ingestion, model development, deployment and monitoring. - Solid MLOps practice: logging, monitoring and CI/CD pipelines for distributed ML systems. - Comfort researching and rapidly prototyping emerging AI and ML frameworks, then driving full scale implementation. The day to day: you design and deploy production grade Gen AI and ML systems, implement and maintain MLOps, evaluate and prototype new frameworks, mentor junior engineers on system design, and translate business needs into technical solutions with cross functional teams. Location and ways of working: hybrid, based in Bangalore, reporting to the Sr. Manager, Engineering Strategy, Planning and Analytics. Honest read: a hands on Staff ML engineering role inside a security business, strong for someone who likes owning production ML and MLOps end to end. It is hybrid Bangalore, not remote, so factor in office days. Mentoring is expected but it is an individual contributor seat.
What the posting asks for: - 4 to 10 years of deep technical support, cloud support or escalation engineering experience. - Strong hands on troubleshooting across cloud security services, configuration, policy engines and APIs. - The ability to do detailed log, telemetry and packet level analysis, reproduce complex defects, and write engineering ready bug reports. - Willingness to own an on call rotation for the highest severity issues. Useful here: exposure to the secure use of AI models, governance of AI agents, data protection and inference security. The day to day: you resolve the highest severity escalations end to end, troubleshoot complex issues across the platform, investigate AI security scenarios, perform root cause analysis, and drive cross functional collaboration with engineering to validate fixes. Location and ways of working: hybrid, based in Bangalore (Mohali also listed), reporting to the Escalation Manager within Customer Success. Honest read: a senior, customer facing technical role that is squarely in scope for the readers who asked for escalation and customer success engineering. It manages accounts and incidents, not people. Hybrid Bangalore, with on call, so weigh both.
What the posting asks for: - 5+ years as a Software Development Engineer, with real strength in automation. - Hands on Python and the ability to design and maintain scalable automation frameworks and internal tooling. - Experience with networking concepts, since the products are network security systems. - Depth in scalability, stress and performance testing. The day to day: you design, implement and run comprehensive automated test cases for complex features, build and maintain automation frameworks that streamline the testing lifecycle, and lead performance and stress testing to find bottlenecks across web filtering, firewall, policy enforcement and CASB products. Location and ways of working: hybrid, based in Bangalore, reporting to the Sr Manager of Engineering in Cyber Security and Data Protection. Honest read: read the title carefully. This is a senior automation and quality engineering role inside a security business, not a feature development seat. If you are a strong SDET or automation engineer with Python and networking, it fits. If you want to write product features, it will not. Hybrid Bangalore, so factor in office days.
What the posting asks for: - 0 to 3 years in a technical support or customer facing technical role. Strong freshers with demonstrated technical aptitude are explicitly welcome. - A basic understanding of REST APIs: HTTP methods, status codes, and how to read a request and response. - The ability to read logs, browser developer tools and error messages to understand what happened before escalating. - Familiarity with SQL: enough to write or understand a basic query. - Comfort using AI tools to speed up investigation. The day to day: you own first response within SLA, resolve standard issues independently, triage and escalate complex tickets with full context, keep the queue healthy during your shift, maintain ticket hygiene, and contribute to the knowledge base. Location and hours: hybrid in Bangalore, on a rotational shift covering mornings, evenings and weekends for 24x7 global coverage. Honest read: a real entry level, customer facing technical role with a stated path into the next level. It is support, not development, and it involves shift work, but for someone early in their career who wants a technical foot in the door it is one of the honest 0 to 1 options here.
What the posting asks for: - 2 to 7 years in technical support or product support for a B2B SaaS platform. - Strong debugging instincts across web applications, REST APIs and third party integrations, tracing failures to root cause rather than the surface error. - Solid SQL: you write your own queries to investigate data issues and validate behaviour. - Working knowledge of SSO, SAML and OAuth flows. The day to day: you own complex escalations end to end, debug platform, API and integration failures, collaborate with engineering on confirmed bugs, lead incident management and customer facing RCAs for high severity issues, manage many open tickets without losing SLA, and turn recurring patterns into runbooks. Location and hours: hybrid in Bangalore, with a rotational on call that can include occasional late night or weekend coverage. Honest read: a mid level, customer facing technical role with real debugging depth, one of the customer success and support seats readers asked for. It is support engineering, not product development, and it carries on call, so weigh both against what you want.
What the posting asks for: - A degree in a highly analytical field such as Engineering, Mathematics or Computer Science, from a strong university. - 3+ years of experience with Python and Shell or Bash scripting. - Working knowledge of Linux and command line tools. - Strong problem solving and analytical skills, and clear communication. - Some mentorship experience guiding junior developers. The day to day: you build software tools that help quants run analysis and simulations, build scalable post trade systems that analyse statistics across all production strategies, implement tools for centrally analysing market data across exchanges, and write comprehensive C++ and Python scripts for risk attribution and performance breakdowns. Location: Gandhinagar, Gujarat. Graviton lists strong perks (covered commuting, catered meals, health insurance, international team outing). Honest read: a tools engineering role inside a quant trading firm, C++ and Python heavy and data intensive. You do not need to be a quant, but you should enjoy building infrastructure that quants use. Note the location is Gandhinagar, not one of the metros, which matters if relocation is a factor.
What the posting asks for: - 4+ years with Terraform for infrastructure as code. - 4+ years in configuration management and systems engineering supporting large scale Agile environments. - 4+ years of Linux or Windows administration, and 4+ years with Git and solid branching and merging strategy. - 2+ years hands on with AWS infrastructure and platform services, cloud automation tools (Ansible or Chef), and container orchestration (Kubernetes on EKS, ECS, Docker). Nice to have: experience across AWS, Azure and GCP. The day to day: you automate infrastructure with Terraform and CloudFormation, own the build and release cycle end to end, deploy releases and handle operations, improve the operations tooling (Jenkins, monitoring with Consul, metrics with Graphite and Grafana), migrate and retire legacy infrastructure, and set operational best practices. You work client facing, embedded with customer teams across the US and India. Location: Mumbai. Honest read: a senior, client facing DevOps role at a delivery focused firm that is honest about how agents change the work. The real floor is 4+ years across several areas, not the incidental 2+ some parsers pick up. Good for someone who wants ownership of migrations and carries delivery dates personally.
What the posting asks for: - 5+ years as an Oracle and PostgreSQL DBA and database developer. - Strong hands on experience with Oracle Database and PostgreSQL or Aurora PostgreSQL, and real Oracle to PostgreSQL migration work. - Advanced SQL and query performance tuning, plus PostgreSQL internals (indexing, statistics, execution plans). - Experience with AWS SCT and AWS DMS, and with a schema migration tool such as Flyway or Liquibase. Nice to have: AWS services (RDS, Aurora, CloudWatch, IAM), automation tools (Ansible, Chef, Puppet), IaC (Terraform, CloudFormation), and AWS Database Specialty or Solutions Architect certification. The day to day: you convert Oracle SQL and PL/SQL to PostgreSQL, remediate AWS SCT findings, manage the Flyway migration codebase, support and monitor AWS DMS through full load and CDC, tune PostgreSQL queries, and validate and reconcile data between Oracle and PostgreSQL. Location: Mumbai. Honest read: a specialist database migration role, not a general backend seat. If you have lived through heterogeneous Oracle to PostgreSQL migrations, this is squarely for you. If your database work is incidental, it will be a stretch.
What the posting asks for: - 8 to 12 years of professional experience in database architecture and migration delivery. - Hands on expertise with AWS DMS and AWS SCT for enterprise scale migrations. - Deep proficiency across Oracle, SQL Server, PostgreSQL and Aurora PostgreSQL, and a track record of heterogeneous migrations across on premises and cloud. - Skill authoring and executing migration runbooks, validation plans, cutover procedures and rollback strategies. The day to day: you lead migrations end to end (assessment, planning, schema conversion, execution, post migration validation), design and manage the DMS and SCT environments, convert Oracle PL/SQL and SQL Server T-SQL to PostgreSQL PL/pgSQL, author the cutover runbooks, drive migration testing and production readiness reviews, and provide technical leadership and governance to migration teams. Location: Mumbai. This is customer facing, enterprise migration delivery. Honest read: a senior, lead level database migration role. It carries technical leadership of teams but the core is deep hands on migration engineering, not people management. Best for a database migration specialist who wants ownership of whole enterprise programmes.
What the posting asks for: - 4 to 7 years in a relevant field such as ETL and ELT, data transfer or data warehousing. - A solid grasp of data integration: connecting diverse sources to a warehouse. - Helpful: experience with API integration and JSON and XML data formats. - The consultative instinct to make strategic technical recommendations and be the single point of contact for a customer. The day to day: you manage a book of customers and own their retention, engage as a technical advisor through the post sales lifecycle, run onboarding for new customers, build and develop data pipelines, build out of the box solutions when you hit product limits, drive engagement and adoption, and lead quarterly business reviews. Location: Bengaluru, reporting to the Head of Customer Success. Honest read: a customer success role with real technical substance, not an account management seat. It carries a book of business and retention responsibility, so there is a relationship and outcomes side alongside the pipeline building. Strong fit if you have data or ETL experience and want to be customer facing.
What the posting asks for: - 5+ years of hands on experience in applied machine learning and data science. - A degree in Computer Science, Machine Learning, Data Science, Statistics or a related field. - A strong background in machine learning, deep learning and NLP, with proven experience training and fine tuning large scale models (LLMs, transformers, diffusion models). - Hands on expertise with parameter efficient fine tuning (LoRA, prefix tuning, adapters, quantization aware training). - Proficiency in PyTorch, TensorFlow and the Hugging Face ecosystem, plus a basic understanding of MLOps (experiment tracking, model monitoring). Nice to have: distributed training frameworks such as DeepSpeed, PyTorch Lightning or Ray. The day to day: you build and fine tune large models for production, apply efficient fine tuning and quantization techniques, and ship AI capabilities into the workflows of large brand customers. Location: Bengaluru. Honest read: a hands on applied ML role, senior individual contributor, at a company shipping AI into enterprise commerce. Lead is a seniority marker here, not a management title. Strong for someone who wants modern model training work that reaches production.
What the posting asks for: - 5+ years in business intelligence, analytics engineering, data engineering or a similar role. - Strong SQL for data transformation, and comfort in at least one functional or object oriented language such as Python or Scala. - Expertise building reporting and data visualisation with tools like Looker, Tableau or Sigma. - Familiarity with database fundamentals (S3, Trino, Hive, Spark) and SQL performance tuning, plus experience writing data quality checks (Pydeequ, Great Expectations). The day to day: you translate business needs into data requirements, build and maintain canonical datasets and high volume ETL and ELT pipelines, lead the development of self serve data products, design metrics and dashboards, and champion high data integrity, reusability and standardisation across domains. Location: Hyderabad. Honest read: a strong, technical data role that leans analytics engineering rather than pure platform work. If you enjoy modelling data and building the datasets and tools the whole company relies on, it is a good fit. The 5+ years and SQL depth are real.
What the posting asks for: - 5+ years of software engineering experience building production systems. - Strength in Java, Python and TypeScript for building integrations and microservices with a focus on quality and reliability. - Interest and some ability in applying GenAI: building AI assisted automations and MCP integrations, and evaluating new models. - The temperament to partner with Finance and cross functional teams and translate their needs into integrations and reporting. The day to day: you build and maintain Finance integrations and microservices, contribute to the in house integration and no code platforms, design AI assisted automations and MCP integrations, migrate integrations off Oracle Cloud, and uphold quality through code reviews, testing and monitoring. Location: Bangalore. Honest read: a backend and integrations engineering role inside Airbnb's internal tech org, with a genuine modern AI tooling angle. The domain is enterprise and finance systems rather than the consumer product, so pick it if reliable integration work with a GenAI twist appeals. The 5+ year bar is real.
What the posting asks for: - 6+ years of industry experience and an advanced degree. - Functional expertise building analytical solutions and being a trusted partner to product teams and business leaders. - The ability to develop robust insights, create data narratives, and define metrics from rich data. - Comfort leveraging machine learning infrastructure and central data science tools alongside engineers and product managers. The day to day: you work with technical and business teams to build insights and define metrics, build advanced analytical capabilities and tools, run analysis that shapes product and business decisions (impact sizing, prioritisation, anomaly alerting, root cause analysis), and partner across payments, trust, support and marketplace teams. Location: Bangalore, within the India Analytics Centre of Excellence. Honest read: this is an advanced analytics role, closer to data science and business analytics than to data engineering. It is an individual contributor seat (a senior analyst, not a manager). If you are strong with data and enjoy being the analytical partner to the business, it fits. If you want to build pipelines or models in production, look at the data engineering roles on this list instead.
What the posting asks for: - 5 to 7 years of software engineering with a strong focus on frontend development. - Strong hands on React and TypeScript in production environments. - Experience designing and building scalable, high performance web applications, and with frontend testing frameworks such as Vitest, Jest and React Testing Library. - Working knowledge of backend systems, REST APIs and distributed systems, and comfort with backend for frontend and API layer changes. Nice to have: experience with design systems or shared component libraries. The day to day: you lead development of complex frontend features, translate ambiguous requirements into scalable solutions, own end to end delivery from design to production, drive improvements in UI architecture and performance, lead code reviews, set frontend standards, and mentor junior engineers. Location: Noida. Honest read: a senior frontend engineering role with genuine architectural ownership and a mentoring element, at a security intelligence company. It is frontend first but expects some backend fluency. Good for an experienced React engineer who wants to lead technical direction without moving into management.
What the posting asks for: - 7+ years in Linux and Unix administration, with extensive hands on experience. - Strong computer networking, including IP, iptables and IPsec. - Broad familiarity with open source technologies and tools, with an emphasis on cloud services. - Working experience with MySQL (MariaDB or Percona a plus), and coding and scripting skills, preferably Perl, Python or Golang. - Willingness to take part in the on call rotation. The day to day: you keep PhonePe's services always up and always available, apply IT operations best practices, work across a wide range of open source and cloud tooling, manage Linux networking and databases, automate with configuration management, and participate actively in on call. Location: Bangalore. Honest read: a senior, hands on SRE role at very high scale, weighted toward operating system, networking and database operations rather than software development. The 7+ year bar and the on call are real. Strong for a systems focused SRE who wants a high scale fintech environment.
What the posting asks for: - An active Elastic Certified Engineer certification (mandatory). - A minimum of 7 years as a Consulting Architect or in a senior IT role. An alternative path is accepted: at least 2 years as a Security Analyst working with SIEM tools such as Splunk, ArcSight or IBM QRadar. - Deep hands on Elastic Stack expertise: data modelling, query development and optimisation, cluster tuning and scaling. - Senior level consulting skills: workshop facilitation, requirements gathering, stakeholder communication and customer advocacy. The day to day: you deliver end to end Elastic projects for enterprise customers, run strategy, roadmap, design and sizing workshops, build proof of concepts, tune and scale clusters for fast search and analytics, and feed field learnings back to product, engaging with the sales team to scope opportunities and assess technical risk. Location and travel: based in India, with remote work plus required on site client engagement across time zones. Honest read: a senior customer facing consulting and solutions architecture role, not an internal product seat. The Elastic Certified Engineer requirement is a hard gate. Best for an experienced Elastic or security analytics specialist who likes client delivery and travel.
What the posting asks for: - 6+ years of experience in technical support, field engineering or a similar customer facing technical role. - A degree in Computer Science, Engineering (Mechanical or Electrical) or another technical field. - Strong troubleshooting and root cause analysis across software and connected hardware systems. - The ability to act as the primary technical authority and the bridge between customers, field teams and R&D. Helpful here: exposure to compliance or regulatory systems (DoT and FMCSA, ELD, Hours of Service), telematics or IoT. The day to day: you own the most challenging escalations on the ELD compliance product, ensure accurate recording of Hours of Service and Records of Duty Status data, reproduce and root cause complex issues, and work across customers, field teams and R&D to protect data integrity. Location: Bengaluru, within the Global Technical Support organisation. Honest read: a senior, customer facing technical support role with a compliance and IoT flavour, not a software development seat. The subject matter (US transport compliance) is specialised, so it suits someone who enjoys owning a complex product domain end to end. The 6+ year bar is real.
Cloudflare does not state a specific years figure in this posting, so we have left the experience number blank rather than guess. It is pitched as a senior, customer facing technical role. What the posting asks for: - A trusted technical advisor profile: someone who can own the technical relationship from discovery through adoption and expansion. - Strength across Cloudflare's portfolio: security, networking and developer platforms. - The ability to lead technical discovery, design bespoke architectures, and deliver compelling demos and proofs of concept. - Comfort operating as a quota carrying technologist within a go to market org, using AI augmented workflows to cut administrative work. The day to day: you partner with Account Executives on technical discovery, build architectures and proofs of concept, act as the continuous technical advisor through onboarding, renewal and expansion, and drive measurable business outcomes across the customer journey. Location and ways of working: fully remote within India, based in Mumbai, reporting to the Regional Customer Engineering Leader within the GTM organisation. Honest read: a pre sales and solutions engineering role, technically deep but quota carrying, so it has a commercial edge that a pure engineering seat does not. It is fully remote within India, which is its standout feature. Strong for a solutions or sales engineer who wants a remote, customer facing technical career.