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Added July 29, 2026
HackerRank publishes no years of experience figure anywhere on this posting, so none has been recorded here rather than guessing. This has been consistent across HackerRank listings on this board. What the posting describes as the problem: measuring skill when AI is already in the room. Software engineering has moved from writing code to using AI to solve problems, and the frameworks used to evaluate developers have not kept up. For more than a decade, skills based hiring relied on deterministic evaluation where a candidate's code either passed test cases or did not, producing a binary and reproducible score. The role is hired to work out what replaces that, and the posting states plainly that this is unsolved rather than a matter of implementation. Scope covers every context in which someone is trying to judge how good a developer actually is: live interviews, asynchronous assessments, AI assisted coding environments and pair programming with agents. Location is Bengaluru on a hybrid basis. Good fit if you are a machine learning engineer who is drawn to open ended, ill defined problems and wants to design evaluation methodology rather than tune a known model against a known benchmark. Measurement, fairness and validity are the substance of the work here. Not a fit if you want clear specifications and a defined success metric, because the posting says outright that the framework does not exist yet. Also worth noting that because HackerRank states no experience figure, this listing will not appear under any experience filter on this page.
The employer asks for 2 to 4 years of experience as a full stack engineer, which is the lowest bar in this edition. Required: proficiency with JavaScript, TypeScript and Node.js, working knowledge of both SQL and NoSQL databases, familiarity with web services, and a strong grounding in software development fundamentals and infrastructure. Postman also asks for strong problem solving and what it calls a bias for action, meaning shipping under constraints rather than waiting for perfect requirements. The day to day: owning intuitive, secure and performant end to end experiences for search, optimising search UX around customer needs, working alongside backend engineers, designers and product managers, building quick functional prototypes for internal and external use cases, and contributing through code review and mentoring peers. The posting explicitly asks you to work across silos and iterate in small increments. Location is the Bangalore office, where Postman was founded. The posting does not state a number of office days. Benefits listed include full medical coverage, flexible PTO, a wellness reimbursement and a monthly lunch stipend, and Postman describes a pay on performance philosophy. Good fit if you have two to four years of real full stack product work and want a large developer audience. Not a fit if you are looking for your first job: this is not a graduate role, it wants people who have already shipped.
The employer asks for 6 or more years building infrastructure level or platform software in cloud native or SaaS environments. The posting is explicit that this is founding level engineering: you design, build and own critical systems of the gateway from the ground up, lead architecture decisions for distributed systems that must be fast, reliable and correct at scale, and set patterns the rest of the team follows. The day to day: driving technical direction and high leverage decisions, owning observability, performance and reliability end to end including SLA targets, monitoring and on call, working directly with the engineering manager and product manager to scope milestones and iterate toward Early Access and general availability, plus design and code reviews and mentoring other engineers. Location is Bengaluru. The posting does not state a number of office days. Postman lists full medical coverage, flexible PTO, a wellness reimbursement and a monthly lunch stipend. Good fit if you have taken a platform or infrastructure product from nothing to a production system other engineers trust, and you want that scope again with 40 million developers already in the ecosystem. Not a fit if you prefer a mature codebase and a settled roadmap: the posting says plainly this is not incremental work.
The employer asks for 5 or more years of software development experience. Required: strong backend engineering in Go, hands on experience integrating with relational and document databases (PostgreSQL, MySQL, MongoDB) and Redis, and the ability to write and maintain unit, integration and performance tests while monitoring, debugging and optimising system performance. Zscaler also asks across its postings for a foundational understanding of AI and ML tools and evidence you actively use them in your own workflow. The day to day: designing and implementing scalable, high performance backend services and APIs, mentoring junior engineers, participating in code reviews, collaborating with external teams to deliver integrated solutions, and contributing to Agile and Scrum ceremonies including sprint planning and retrospectives. Location is Bangalore on a hybrid basis, reporting to a Senior Director of Software Engineering in the platform convergence department. The posting does not state the number of office days for this particular req, though other Zscaler listings in this edition specify three days a week. Good fit if you have five or more years of Go backend work and want distributed systems problems at real scale. Not a fit if you want a pure individual contributor seat with no mentoring: coaching junior engineers is written into the responsibilities.
The employer asks for 5 or more years of software development experience building full stack applications. Required: React for user interfaces, Spring Boot microservices in Java, cloud native infrastructure on AWS and Kubernetes, REST API design, and event driven services using Kafka. Zscaler also asks for a foundational understanding of AI and ML technologies and experience leveraging, securing or positioning AI driven solutions in your own domain, which is consistent across its postings this cycle. The day to day: building full stack features across the React UI, Spring Boot microservices and cloud native infrastructure, designing REST APIs and event driven Kafka services within a microservices architecture, and owning features end to end including logging, observability and cross functional collaboration with UX and product management. Location is Bangalore, hybrid at three days a week in the office, reporting to a Director of Software Development Engineering in the AI Security department. Good fit if you genuinely work across the stack and want to do it on security products rather than a CRUD application. Not a fit if you specialise narrowly in either frontend or backend, because the posting asks for end to end ownership of both.
The employer asks for 5 or more years of relevant experience in test automation. Required: designing, reviewing and executing system, integration and end to end tests for backend datapath components, developing automated functional test cases, and building and maintaining an automation framework using modern tooling to enable automation and scheduling for network security products. Zscaler also asks for a foundational understanding of AI and ML tooling and evidence you use it in your daily workflow. The day to day: building test infrastructure to suit product needs, interacting with multiple stakeholders and product management to understand customer use cases and upcoming features, proactively monitoring cloud components, troubleshooting and debugging cloud incidents, and mentoring junior engineers. Location is Bangalore, hybrid with three days a week onsite, reporting to a Manager of Engineering. Good fit if you are a test automation engineer who wants to work on network and cloud infrastructure rather than application UI, and you are comfortable being on the hook for live cloud incidents. Not a fit if you want feature development: this is a quality engineering seat, and the posting is clear about that.
The employer asks for 5 or more years in platform or infrastructure engineering. Required: owning OpenStack architecture and lifecycle across data centre environments, specifically designing, deploying and operating Nova, Neutron, Cinder, Swift and Glance at scale with high availability and operational resilience; architecting enterprise grade block, object and file storage using Ceph and integrating it with OpenStack and bare metal; and automating data centre platform capability with Terraform, Ansible and GitOps workflows. You are also expected to define standards for software defined networking (SDN and OVN), role based access control, multi tenancy, quotas and resource isolation. Zscaler asks additionally for a foundational understanding of AI and ML tooling. The day to day: driving observability and capacity planning by instrumenting the full stack with Prometheus, Grafana and centralised logging to manage SLOs, track storage utilisation and control cost at data centre scale, enforcing security hardening across tiers, managing access controls, troubleshooting complex production issues and mentoring engineers. Location is Bangalore, hybrid with three days a week in office, reporting to a Senior Manager of Software Development Engineering in the Zero Trust Exchange department. Good fit if you have run OpenStack or Ceph in anger and want ownership of the foundation rather than a slice of it. Not a fit if your cloud experience is entirely on managed AWS, Azure or GCP services, because this is the layer underneath that.
The employer asks for 7 or more years of software development experience with extensive coding in Rust, particularly systems programming and async frameworks such as Tokio or async-std. Required: proven expertise building resilient, observable and horizontally scalable distributed systems; a strong grasp of Linux fundamentals including networking, namespaces, sockets and kernel to user space interaction; and proficiency with container based environments, Git, CI and CD workflows and performance instrumentation. The day to day: designing and building the low latency, high throughput data forwarding plane; developing distributed systems with a focus on concurrency, fault tolerance and messaging; implementing and maintaining gRPC based APIs and services that integrate forwarding plane capability with control and orchestration layers; optimising performance through profiling across kernel and user space; and taking part in code reviews, system design discussions, technical documentation and mentoring. Location is Bangalore or Hyderabad on a hybrid basis, reporting to a Senior Director of Software Engineering in the platform convergence department. Good fit if your Rust is real systems work and you want networking data path problems. Not a fit if your Rust experience is limited to side projects or web backends: the posting asks for extensive production coding in it.
The employer asks for 7 or more years of Java or Go coding in a highly distributed, enterprise scale environment. Required: working knowledge of cloud infrastructure services on AWS or Azure, strong experience with distributed systems and microservices architecture, strong database knowledge covering SQL constructs and data modelling, and a bachelor's degree in computer science or equivalent experience. Zscaler also asks for a foundational understanding of AI and ML technologies and experience applying them in your domain. Preferred: experience building full CI and CD systems using Kubernetes and web services. The day to day: building and operating high scale systems, providing service and product wide architectural guidance, driving impactful technical decisions, establishing and enforcing best practice for coding, testing, observability and CI and CD pipelines, and leading cross team initiatives in performance optimisation, reliability and adoption of new technology to speed up feature delivery. Location is stated as a hybrid role based in Hyderabad, with the requisition also listing Bangalore. Good fit if you have deep Java or Go at enterprise scale and want influence across services rather than one component. Not a fit if you want to stay purely hands on inside a single codebase, since much of the value here is cross team architectural work.
The employer asks for a minimum of 8 or more years working as a Support Engineer or Senior Support Engineer supporting cloud networking or web security products, plus 7 or more years with operating systems including Linux, Unix and FreeBSD. Required: experience delivering products and services as cloud based solutions, strong written and verbal communication at both technical and business level with internal teams, customers, partners and executives, and demonstrated curiosity about AI tools with a history of integrating them into daily work. Preferred: deep expertise in cloud networking infrastructure, hybrid connectivity and traffic management across AWS, Azure and GCP, including VPC and VNet peering, Direct Connect, ExpressRoute and load balancing, plus hands on cloud security work with network security groups and network ACLs and infrastructure as code tooling. The day to day: engaging with customers on escalated support issues and important customer situations, participating in a 24x7 support operation and a 24x7 on call rotation, working with engineering to test and troubleshoot, reproducing customer issues to verify problems, and documenting incident resolutions in the technical support knowledge base. Location is Bangalore on a hybrid basis, reporting to an Escalation Manager in the Customer Success department. Good fit if you are a senior support or escalation engineer with real networking depth. Not a fit if you cannot commit to a 24x7 on call rotation.
The employer asks for 8 or more years in data engineering, data platforms and analytics, or software engineering. Required: comfort writing code in Python, Scala or JavaScript and TypeScript with modern frameworks; working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one; deep experience with distributed computing on Apache Spark including knowledge of Spark runtime internals; familiarity with CI and CD for production deployments; and working knowledge of MLOps, ML and AI models and AI APIs. Also required: designing and deploying production end to end data architectures that combine data pipelines, ML and AI models and user facing interfaces; technical project delivery experience covering scope, timelines and measurable outcomes; documentation and whiteboarding skills; and experience with enterprise clients including managing conflict across a broad stakeholder range. Databricks certification is listed, and travel to customers is stated at 20% of the time. The day to day: leading customer technical projects end to end, guiding strategic customers through large data and AI implementations, owning architecture and design decisions for secure and scalable solutions, embedding with customer teams, and feeding product and implementation issues back to Databricks engineering and support. Location is listed as remote in India. Good fit if you are a strong data or platform engineer who genuinely enjoys customer contact. Not a fit if you want to write code without stakeholder work, or cannot travel.
The employer asks for 6 or more years of production experience in backend or infrastructure development, with proficiency in at least two of Terraform, Scala, Go, Apache Spark, Java and Python, and experience with at least one compiled language is required. Also required: experience delivering complex backend or infrastructure projects in iterative increments, balancing robustness against development speed, and a stated passion for defensive engineering practice. The day to day: building, debugging and extending internal and public infrastructure components of the Databricks Labs ecosystem with a focus on scalable, reliable backend services and automation; implementing and maintaining backend services, APIs and automation tools that integrate with the Databricks platform; authoring technical documentation, design proposals and internal guides; contributing to engineering best practice, coding standards and reusable patterns; collaborating with Field Engineering, Product and Platform Engineering to clarify requirements; evaluating and integrating new technology for the Labs and automation tooling ecosystem; owning small to medium projects end to end; and taking part in code reviews, design reviews and incident response. Location is Bengaluru. The posting does not state office days. Good fit if you are a backend engineer who wants tooling and platform work with a visible internal customer. Not a fit if you expected a customer facing architect role: the title says architect, the requirement list says backend engineer.
The employer asks for 10 or more years of production level experience in one of Python, Java, Scala, C++ or a similar language, plus a BTech or higher in computer science or a related field. The requisition is advertised as Staff or Senior Staff, so the level is assessed rather than fixed. The day to day: designing, developing and maintaining the SQL drivers that carry the majority of data warehousing traffic, plus the critical infrastructure behind partner integrations; optimising those drivers for performance, reliability and telemetry so partners and enterprise customers get seamless connectivity; maintaining open source repositories and engaging with the developer community; and working with cross functional teams to define technical requirements, architect solutions and implement systems that let partners connect to the platform. Location is Bengaluru. The posting does not state office days. Good fit if you enjoy driver, protocol or connectivity engineering and are comfortable working in public on open source repositories where external developers read your code. Not a fit if you want product feature work with a visible user interface, because this layer is invisible to end users by design and is judged on throughput, correctness and not breaking compatibility.
The employer asks for 10 or more years of industry experience building and operating large scale distributed systems, plus 4 or more years providing technical leadership on planet scale production data systems, and a BS, MS or PhD in computer science or a related field or equivalent experience. The day to day: designing and running the cross company Data Intelligence Platform that holds every business and product metric used to run Databricks; developing tooling and infrastructure to manage and run Databricks on Databricks at scale across multiple clouds, geographies and deployment types, including CI and CD processes, test frameworks for pipelines and data quality, and infrastructure as code tooling; building reliable data pipelines using Databricks, partner products and open source tools; partnering with engineering teams on long term vision and requirements for the product; giving early feedback on the design and operation of those products; and representing Databricks at academic and industry events. The posting also mentions using current AI developer tools and techniques as part of the work. Location is Bengaluru. The posting does not state office days. Good fit if you are a senior data infrastructure engineer who wants breadth across the whole data stack and does not mind that the customer is internal. Not a fit if you want to build externally facing product.
The employer asks for 12 or more years of production level experience in one of Java, Scala, C++ or a similar language, plus a BS, MS or PhD in computer science or a related field. The day to day: owning the Money systems and services that govern usage across all Databricks products and offerings, starting with resource admission control and usage governance infrastructure; improving engineering and infrastructure efficiency, reliability, accuracy and response times including CI and CD processes, test frameworks, data quality assurance, end to end reconciliation and anomaly detection; and collaborating with platform and product teams to build infrastructure that scales. The work sits at the meeting point of abuse prevention, product commercialisation and reliable availability, so you will be translating diverse business needs into one system. Location is Bengaluru. The posting does not state office days. Good fit if you have deep backend systems experience and want ownership of infrastructure the whole company depends on, and you are comfortable being an early hire on a team that is still forming its practices. Not a fit if you need an established team with settled processes, or if billing and metering strike you as unglamorous: this is careful, high consequence systems work rather than greenfield product building.
The employer asks for 12 or more years of production level experience in one of Python, Java, Scala, C++ or a similar language, plus 7 or more years developing large scale distributed systems from scratch. Required: experience working on a SaaS platform or with service oriented architectures, and extensive experience in the networking domain specifically. The day to day: building new backend connectivity services that power millions of virtual machines running on Databricks; leading the design and development of new services connecting the control plane and the compute plane; and working across product management, operations and other engineering teams to deliver networking systems. As one of the seed members of the Bangalore site, you would help establish the team rather than join an existing one. Location is Bengaluru. The posting does not state office days. Good fit if you have genuine networking depth alongside distributed systems experience and want the influence that comes with being early to a new site. Not a fit if your background is application backend without networking: the posting asks for extensive domain experience there, and this is the layer where multi cloud connectivity problems actually live.
The employer asks for 15 or more years of industry experience building and supporting large scale distributed systems. The day to day: delivering a highly scalable, available and fault tolerant engine that processes hundreds of terabytes of data daily across thousands of customers; low level systems debugging plus performance measurement and optimisation on large production clusters; building architecture designs, influencing the product roadmap and taking ownership of new projects; using your experience to prevent and investigate production issues; and planning and leading complex technical projects that span several teams. The posting describes the level explicitly: full ownership of product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact, acting as a force multiplier by improving stability, reliability and organisational process, mentoring senior engineers, contributing to recruiting and leading high impact company projects. Location is Bengaluru. The posting does not state office days. Good fit if you have fifteen years of distributed systems work and want scope over a major area without moving into people management. Not a fit if you are targeting a management track, or if you want narrow focus: this role is explicitly cross team and expects influence on organisational process as well as code.
MongoDB publishes no years of experience figure on this posting, so none has been recorded here rather than guessing a number. The seniority signal is the title (Senior) and the requirement to have designed and implemented medium to large software projects. Required: having built and operated large scale distributed systems in cloud providers, with AWS strongly preferred; a strong backend programming background with fluency in Go strongly preferred, though deep experience in another compiled or strongly typed language is acceptable; experience working with AI coding agents and the ability to demonstrate building high quality context for high quality output; experience designing and implementing medium to large projects including driving design reviews and mentoring less senior engineers; strong experience operating production Kubernetes clusters rather than only deploying to them; practical experience defining and working against SLIs and SLOs for services you owned; strong experience with observability tooling covering metrics, logging, traces, Prometheus, Grafana and OpenTelemetry; strong Linux and TCP/IP networking skills; familiarity with standard authentication protocols such as OAuth and OIDC; and familiarity with web services or Kubernetes controller development. Location is Gurugram and MongoDB states plainly that it is looking for candidates based there for its hybrid working model. Good fit if you are a Go backend engineer who genuinely enjoys platform work and has operated Kubernetes in production. Not a fit if you are not in or moving to Gurugram.
The employer asks for ideally 8 to 11 years of related experience in a customer facing role, including 5 to 7 years in pre sales with enterprise software. Required: a minimum of 3 years of professional experience with modern scripting languages such as Python, Node.js or SQL, or with programming languages such as Java, C# or C and C++; experience designing scalable and highly available distributed systems in the cloud and on premises; demonstrated ability to review complex application architectures with customers and partners and guide modernisation, migration and innovation strategies; excellent presentation, communication and interpersonal skills with the ability to convey technical and business concepts to developers, architects, partner stakeholders and executives; the ability to partner with sales and partner teams on a multi threaded account and ecosystem strategy across India; and working knowledge of major cloud platforms. The day to day: acting as a trusted technical advisor to partners and customers, helping create partner led demand, shaping technical strategy and supporting deals across the India region. Location is Gurugram, and MongoDB states it is looking for candidates based there for its hybrid working model. Good fit if you are a technical architect who enjoys customer and partner work and wants the commercial side. Not a fit if you want to stay purely hands on: this sits in pre sales, and we would rather say so than let the architect title imply otherwise.
MongoDB publishes no years of experience figure on this posting, so none has been recorded here rather than guessing. Required: experience building and maintaining complex mission critical production database systems, either relational or NoSQL; coding or scripting ability in one or more of Java, Python, Ruby, C, C++, C#, JavaScript, Node.js or Go; experience working with APIs to integrate third party technologies across areas such as security and fraud, big data analytics and AI, healthcare, content management, IoT and database performance monitoring; solid hands on systems engineering covering Linux performance, memory management, I/O tuning, configuration, security, networking, clusters and troubleshooting; the ability to analyse issues holistically from application tier through database down to storage; troubleshooting the TCP/IP networking stack at operating system and hypervisor level; experience using or administering AWS, Azure or GCP; and hands on administration of NAS, SAN, local storage and multipathing. Preferred: experience using or managing MongoDB, strong understanding of LDAP, Kerberos and Active Directory, distributed version control especially git, and Kubernetes or other orchestration using vendor enterprise operators. MongoDB states the ramp: in 3 months a deep understanding of MongoDB and its partner ecosystem plus new hire training, by 6 months working frontline with customers and partners and completing the Certified DBA Associate exam, and by 12 months acting as a technical specialist handling escalations independently. Location is Bengaluru, hybrid, and MongoDB states it wants candidates based there. Good fit if you are a systems or database engineer who likes diagnosis. Not a fit if you have no production database background.
Sarvam publishes no years of experience figure on this posting, so none has been recorded here rather than guessing a number. Required: strong Python and PyTorch, described as being comfortable reading model internals, profiling inference and debugging production failures; hands on experience integrating and optimising speech models (ASR or TTS) in production; experience with real time and streaming systems including WebSocket pipelines, chunked audio processing and latency sensitive async architectures; a solid understanding of modern speech system architectures covering sequence to sequence models, attention mechanisms, flow matching or diffusion based TTS and streaming ASR; familiarity with model serving infrastructure such as Triton, TorchServe or ONNX Runtime; audio signal processing fundamentals including sample rates, PCM formats, spectrograms, vocoding and time stretching; and strong async Python. The day to day: building and optimising the real time speech to speech translation pipeline with streaming ASR, server side voice activity detection, low latency translation and live TTS audio streams; designing fan out architectures where one ASR stream serves many concurrent listeners with personalised translated audio; implementing voice cloning in both streaming and batch contexts; optimising end to end latency across the ASR, translation and TTS chain; integrating with real time media infrastructure such as WebRTC, RTMP and SRT; and building evaluation harnesses tracking WER and CER, tempo and pronunciation. Location is Bengaluru. Good fit if you have shipped speech models in production. Not a fit if your ML work has been offline and batch only, because latency is the whole problem here.
Sarvam publishes no years of experience figure on this posting, so none has been recorded here rather than guessing. Required: strong Python and PyTorch, described as comfort reading and modifying model internals; hands on experience training or fine tuning large models including debugging broken runs; experience building data pipelines at scale; a solid grounding in transformer architectures and modern training techniques; comfort with ambiguity, since the roadmap is not fully pre specified; a strong focus on secure coding, code quality and system reliability; and an undergraduate degree in a technical discipline such as computer science, statistics or physics. Bonus points listed: experience with vision language or multimodal systems, distributed training using FSDP, DeepSpeed or Megatron-LM, post training methods such as RLHF, DPO or other alignment techniques, and inference optimisation covering quantisation, distillation and serving. The day to day: designing and running training and fine tuning pipelines on GPU clusters; building multimodal data pipelines covering ingestion, filtering, deduplication, synthetic generation and quality assurance; implementing new architectures from research; building evaluation harnesses, benchmarks and automated regression tracking; optimising models for inference; working directly with clients on document processing, visual search and form extraction; and debugging deployed solutions for latency, accuracy and edge cases. Location is Bengaluru. Good fit if you have trained or fine tuned large models yourself and want both research and client facing delivery. Not a fit if you only consume model APIs without touching training.
Sarvam publishes no years of experience figure on this posting, so none has been recorded here rather than guessing. The title is Principal and the posting describes a hands on security leader, so expect it to be pitched senior. Required: hands on experience securing enterprise and BFSI or fintech infrastructure; participation in capture the flag competitions across web, crypto, pwn or mixed categories; and participation in bug bounty programmes, especially private programmes for fintech, cloud or infrastructure companies. The day to day breaks into four areas. Security strategy and architecture: defining and evolving the end to end security strategy, designing secure architectures for Sarvam's products and API platform, applying BFSI grade threat modelling to AI infrastructure, and making pragmatic risk decisions that balance research velocity against security. Product and application security: leading threat modelling for AI products, APIs and data systems, owning application and API security including authentication, access control and data isolation, and driving vulnerability discovery, remediation and verification. Systems and process: building systems to proactively find and validate vulnerabilities, performing targeted adversarial testing and red teaming, and researching emerging threats relevant to AI systems. Cloud and DevSecOps: securing cloud infrastructure, IAM and secrets management, integrating security checks into CI and CD without slowing teams down, and improving detection and response readiness. Location is Bengaluru. Good fit if you are an offensive minded security engineer with fintech depth who wants to stay technical. Not a fit if your background is governance, risk and compliance: the posting rules that out itself.
PhonePe publishes no years of experience figure on this posting, so none has been recorded here rather than guessing. The level in the title is 2, and the posting asks for extensive experience in Linux and Unix administration, so it is not an entry level seat. Required: proficiency in Linux and Unix administration coupled with extensive field experience; computer networking proficiency and working knowledge; the ability to use a wide variety of open source technologies and tools with a strong emphasis on cloud services; implementing best practice and IT operations to maintain an always up, always available service; and active participation in the on call rotation. The day to day is keeping one of the largest fintech infrastructures in the country running: reliability and performance work, incident response, and the operational engineering that sits behind an always available payments service. Location is Bangalore. ⚠️ Note before applying: PhonePe currently advertises a byte identical description under the separate title Service Delivery Engineer. They are the same job description. We publish one listing rather than two so that the board reflects one real opening. Good fit if you have solid Linux and networking fundamentals and want infrastructure at genuine scale, where an outage is immediately visible to hundreds of millions of people. Not a fit if you are looking for a development role, or cannot take part in an on call rotation.
PhonePe publishes no years of experience figure on this posting, so none has been recorded here rather than guessing. The title carries level 2 and the posting asks for an experienced SRE. The day to day, grouped as the posting groups it. Cloud and infrastructure: configuring, maintaining and managing services and packages on Ubuntu virtual machines in Azure, and designing and managing Azure components for log storage, management, alerting and monitoring. Networking and connectivity: configuring and maintaining complex network components including Azure Firewall, route tables, virtual network gateways and ExpressRoute; establishing and managing IPsec and ExpressRoute connectivity with external environments; and managing routing, troubleshooting connectivity problems and supporting network component migrations with minimal downtime. Automation and infrastructure as code: driving automation of business as usual tasks using Terraform, SaltStack, Ansible and scripting languages, including writing new Terraform for infrastructure components. Database and data management: setting up and managing high availability database configurations. Location is Bangalore. The role supports a high volume, mission critical environment. Good fit if your cloud depth is specifically Azure, you are comfortable with enterprise networking constructs like ExpressRoute and IPsec, and you write infrastructure as code rather than clicking through a portal. Not a fit if your experience is AWS only, since almost every named technology here is Azure specific and the networking requirements are the hardest part of the role.
The employer asks for 5 or more years of research or industry experience within computer vision and machine learning models. Note that Netradyne writes this as "5+ yrs", abbreviated, which is worth mentioning because automated parsers frequently miss that form. Required: a BTech, MTech or PhD in computer science, electrical engineering or a related area; in depth understanding of machine learning covering both deep learning and classical ML, and of computer vision concepts; excellent programming skills in Python, which is required, with C++ desired; the ability to turn abstract product concepts into working systems; the ability to innovate on problems without documented solutions; and hands on experience with edge deployments targeting various hardware platforms. Preferred: experience with time series data, camera calibration, multi view geometry, 3D reconstruction and SLAM, and road scene understanding covering objects and lanes. The day to day: designing and commercialising algorithms that characterise driving behaviour, deploying new algorithms and models into thousands of vehicles, and collaborating cross functionally to build and deploy scalable AI systems. Location is Bangalore. Netradyne is consistently the one employer on this board that publishes its office policy, and its other current postings state onsite five days a week at Whitefield on a general shift. Good fit if you have computer vision depth and want models that ship to real hardware. Not a fit if you want purely offline research, or cannot work onsite in Bangalore.
The employer asks for 9 or more years of research or industry experience within computer vision and machine learning models. Netradyne writes this as "9+ yrs", abbreviated, a form automated parsers routinely miss, which is why it was read by hand here. Required: a BTech, MTech or PhD in computer science, electrical engineering or a related area; in depth understanding of machine learning covering deep learning and classical ML, and of computer vision concepts; excellent programming skills in Python, which is required, with C++ desired; the ability to take abstract product concepts and turn them into reality; the ability to innovate on cutting edge problems without documented solutions; and hands on experience handling edge deployments across various hardware platforms. Preferred: experience with time series data, camera calibration, multi view geometry, 3D reconstruction and SLAM, and road scene understanding covering objects and lanes. The day to day: leading development of AI solutions that let drivers and fleets identify unsafe driving in real time, designing and commercialising driver monitoring and driver assistance algorithms, working with very large datasets, and deploying models into thousands of vehicles. Location is Bangalore, and Netradyne's other current postings state onsite five days a week at Whitefield on a general shift, which is more office policy than most employers publish. Good fit if you have close to a decade of computer vision work and want ownership of algorithms that ship to edge hardware at scale. If you have five to eight years, apply to the Staff Research Engineer posting instead: same team, same work, lower stated floor.
The employer asks for 10 or more years in corporate IT, endpoint engineering or IT architecture roles within distributed or hybrid environments. The day to day: defining and maintaining the target state architecture for corporate IT systems; maturing service desk processes across incident, request, problem and change with automation and self service at the core; implementing an AI service desk using large language models and virtual agents for intelligent ticket routing, automated triage and instant user resolution; engineering end to end automation frameworks that turn manual support interventions into self healing workflows; designing modern endpoint management across macOS and Windows using Jamf and Intune; establishing patching, compliance and configuration baselines with measurable enforcement; owning architecture and governance for Google Workspace, Slack, Zoom and conference room AV systems; automating onboarding and offboarding workflows with partner teams; and documenting standards, integration patterns and lifecycle management strategies. The posting describes the role as strategic yet hands on, and says it suits someone who solves complex systems problems and uses data to guide decisions rather than reacting to tickets. You would work as part of a globally distributed IT organisation, partnering with Security, Engineering, HR and Finance. Location is Bangalore. ⚠️ Rubrik's careers site returns an error to automated link checks, so this listing was verified live through the Greenhouse jobs API instead, which confirmed it open and updated on 28 July. It opens normally in a browser. Good fit if you have a decade in enterprise IT and want to build systems rather than staff a queue. Not a fit if you want product engineering.
The employer asks for typically 18 or more years of industry experience in software engineering, with significant depth in developer platforms and infrastructure. The posting states the role operates at the same level as an Engineering Director, so calibrate expectations accordingly. The day to day, as the posting groups it. Platform strategy and AI powered productivity: defining the long term technical vision, described as a 3 or more year horizon, for the Developer Platform including core infrastructure, CI and CD pipelines and observability systems; pioneering the integration of AI and ML both for engineering tasks and to transform internal processes and tools company wide; translating future business opportunities or productivity gaps into solvable multi quarter technical problems with a clear roadmap; and driving improvements in engineering velocity and quality by finding and removing bottlenecks in the software development lifecycle. The role also carries technical leadership, strategic delivery and people growth responsibilities, including coaching and mentoring Staff Engineers toward Principal level impact and raising the hiring bar. Scope spans multiple complex systems and multiple engineering organisations. Location is Bangalore. ⚠️ Rubrik's careers site returns an error to automated link checks, so this listing was verified live through the Greenhouse jobs API, which confirmed it open and updated on 28 July. It opens normally in a browser. Good fit if you have eighteen years behind you, want director level scope and influence, and specifically want to stay on the individual contributor ladder. Not a fit if you are looking for focused hands on coding, because the emphasis here is strategy, cross organisational influence and mentoring.
The employer asks for 8 or more years of experience in software quality engineering. The day to day: designing and owning the overall test automation framework and strategy across both the Voice AI platform and the monitoring and analytics platform; defining test pyramid principles spanning unit, integration and higher level tests; setting acceptance criteria and quality gates at the story level; driving root cause analysis on escaped defects and building preventive test coverage; working closely with product engineering, platform and data teams to embed quality upstream; and mentoring engineers on best practice while driving quality culture across cross functional teams. The posting reports to a Director of NOC Delivery and Automation, and describes the intent as shifting left, moving from reactive bug finding toward proactive prevention at the architecture level. Location is Bangalore. Good fit if you are a senior quality engineer who wants to own strategy and framework design across multiple platforms rather than write test cases against a fixed plan, and who is comfortable being measured on defects that did not happen. The Voice AI element makes this less conventional than most QA automation roles, since testing a voice and AI driven system raises different problems from testing a standard web application. Not a fit if you are early in a quality career: at eight or more years this expects you to have already built and owned an automation framework end to end, not just contributed to one.