Showing every open role on the board at 0 to 1 yr, across all editions. Back to the daily board
No roles match that combination.
Added August 17, 2026
Required: a Bachelor's degree in Computer Science, Software Engineering or equivalent practical experience, and 1 or more years of software engineering experience, internship experience, or relevant project experience. The posting treats those three as alternatives, which is what makes this reachable straight out of college. You need foundational programming in Java, C#, .NET or similar, plus a basic understanding of databases, APIs, software design principles, debugging and automated testing. Nice to have: exposure to SaaS applications, cloud hosted systems, enterprise software or cybersecurity products; familiarity with MySQL, SQL, AWS, REST APIs, CI/CD tooling, source control or agile practice; contributions to production software, academic projects, internships or open source; and an interest in automation, cloud, distributed systems or infrastructure. The day to day: developing, testing, debugging and maintaining features; contributing to backend services, APIs, tools and integrations; joining code reviews, sprint planning and troubleshooting; writing tests and documentation; and working with QA, product, UX and operations. The posting expects you to learn agile delivery, CI/CD, automated testing and DevOps fundamentals on the job. Location is Pune and the posting does not publish a remote or office day policy, so ask at first contact. No interview process is published. Good fit if you are a recent graduate or in your first year and want a platform product rather than a services role. Not a fit if you need remote work or want to lead design immediately.
Added August 12, 2026
THE EXPERIENCE THIS ROLE ASKS FOR 1 to 3 years of experience in a customer-facing technical role. This is one of the two lowest experience bars in today's edition. WHAT THE POSTING REQUIRES - 1 to 3 years in a customer-facing technical role. Examples given: technical support engineer, support or solutions engineer, implementation engineer, junior DevOps or security engineer, or similar. - Working familiarity with at least one major cloud provider (AWS, Azure or GCP). The posting states that hands-on project or lab experience counts. - Comfort reading logs, APIs and basic scripts in Python or Bash to help diagnose issues. The posting says you do not need to be a developer, but should not be afraid of the command line. - Strong written and verbal communication: able to explain a technical concept clearly to both an engineer and a non-technical stakeholder. - Genuine curiosity about cybersecurity and cloud infrastructure, and eagerness to build deeper expertise on the job. - Comfort managing multiple customer conversations at once and prioritising under some ambiguity. NICE TO HAVE, NOT REQUIRED - Exposure to container and Kubernetes fundamentals. - Familiarity with infrastructure as code such as Terraform. - A cloud certification such as AWS Certified Cloud Practitioner or Solutions Architect Associate, Azure Fundamentals or GCP Associate. - Prior exposure to security concepts such as vulnerabilities, misconfigurations and compliance frameworks. The posting says this is not required because they will teach it. WHAT THE JOB ACTUALLY IS DAY TO DAY Serving as front-line technical point of contact for a portfolio of small to mid-size customer accounts, with support from senior customer success engineers on more complex issues. Helping customers troubleshoot platform questions, configuration, integrations, alert findings and basic cloud environment issues, in partnership with support and engineering. Assisting with customer onboarding: environment connections, initial configuration, and getting new customers to their first result with the platform. Supporting customer success managers by preparing technical materials for check-ins, business reviews and renewal conversations. Shadowing and, over time, co-leading technical workshops and architecture discussions with customers. Documenting recurring issues, building internal runbooks and contributing to the knowledge base. Tracking and escalating product issues and feature gaps to product and engineering, then following up with customers on resolution. Building foundational knowledge of AWS, Azure and GCP and the wider cloud security space. LOCATION AND WORKING PATTERN Listed as India, Bangalore, remote. The requirements add that you should be based in or able to work from the Delhi or Bangalore hub, stated as preferred, and be open to some schedule overlap with customers in other time zones such as US or Europe. BEFORE YOU APPLY The advertised title is Customer Success Engineer, but the description opens by calling the role an Associate Customer Success Engineer and pitches it as a next step for someone with one to three years. That is the accurate level. Orca's own careers site returns a redirect loop to non-browser clients, so we link to the Greenhouse-hosted application page for this exact requisition, which names both the role and the employer. Orca is running this role as two separate postings, one for each hub, and both are on this list. HONEST FIT GUIDANCE Someone one to three years into technical support, implementation or junior DevOps who wants to move into cloud security and needs an employer willing to train rather than one expecting the expertise up front. The posting derisks itself unusually explicitly: it says you will not be thrown into the deep end, that you will be paired with experienced teammates and given structured ramp-up time, that lab experience counts as cloud experience, and that security concepts will be taught. For a remote role at a company of this size, that is a genuinely low barrier.
THE EXPERIENCE THIS ROLE ASKS FOR 1 to 3 years of experience in a customer-facing technical role. This is one of the two lowest experience bars in today's edition. WHAT THE POSTING REQUIRES - 1 to 3 years in a customer-facing technical role. Examples given: technical support engineer, support or solutions engineer, implementation engineer, junior DevOps or security engineer, or similar. - Working familiarity with at least one major cloud provider (AWS, Azure or GCP). The posting states that hands-on project or lab experience counts. - Comfort reading logs, APIs and basic scripts in Python or Bash to help diagnose issues. The posting says you do not need to be a developer, but should not be afraid of the command line. - Strong written and verbal communication: able to explain a technical concept clearly to both an engineer and a non-technical stakeholder. - Genuine curiosity about cybersecurity and cloud infrastructure, and eagerness to build deeper expertise on the job. - Comfort managing multiple customer conversations at once and prioritising under some ambiguity. NICE TO HAVE, NOT REQUIRED - Exposure to container and Kubernetes fundamentals. - Familiarity with infrastructure as code such as Terraform. - A cloud certification such as AWS Certified Cloud Practitioner or Solutions Architect Associate, Azure Fundamentals or GCP Associate. - Prior exposure to security concepts such as vulnerabilities, misconfigurations and compliance frameworks. The posting says this is not required because they will teach it. WHAT THE JOB ACTUALLY IS DAY TO DAY Serving as front-line technical point of contact for a portfolio of small to mid-size customer accounts, with support from senior customer success engineers on more complex issues. Helping customers troubleshoot platform questions, configuration, integrations, alert findings and basic cloud environment issues, in partnership with support and engineering. Assisting with customer onboarding: environment connections, initial configuration, and getting new customers to their first result with the platform. Supporting customer success managers by preparing technical materials for check-ins, business reviews and renewal conversations. Shadowing and, over time, co-leading technical workshops and architecture discussions with customers. Documenting recurring issues, building internal runbooks and contributing to the knowledge base. Tracking and escalating product issues and feature gaps to product and engineering, then following up with customers on resolution. Building foundational knowledge of AWS, Azure and GCP and the wider cloud security space. LOCATION AND WORKING PATTERN Listed as India, Delhi, remote. The requirements add a stated preference for being based in or able to work from the Delhi or Bangalore hub, and openness to some schedule overlap with customers in other time zones such as US or Europe. BEFORE YOU APPLY The advertised title is Customer Success Engineer, but the description opens by calling the role an Associate Customer Success Engineer and pitches it as a next step for someone with one to three years. That is the accurate level. Orca's own careers site returns a redirect loop to non-browser clients, so we link to the Greenhouse-hosted application page for this exact requisition, which names both the role and the employer. Orca is running this role as two separate postings, one for each hub, and both are on this list. HONEST FIT GUIDANCE Someone one to three years into technical support, implementation or junior DevOps in or near Delhi who wants a route into cloud security. The posting says you will be paired with experienced teammates and given structured ramp-up time, that hands-on lab experience counts as cloud experience, and that security concepts will be taught rather than assumed. The Bangalore version of this role is a separate posting and is also on this list, so apply to whichever hub suits you.
THE EXPERIENCE THIS ROLE ASKS FOR 1 to 4 years of experience in customer-facing roles, listed as preferred rather than required. That makes this one of the lowest experience bars in today's edition. Read the education filter below before applying. WHAT THE POSTING REQUIRES - An MBA from a Tier 1 or Tier 2 institute. This is stated in the requisition title itself, not in the body. - Previous advanced support experience with data-driven, web-based applications. - Strong logical, analytical and problem-solving skills. - Excellent communication skills. - Openness to working night shifts and working from the office five days a week. WHAT THE JOB ACTUALLY IS DAY TO DAY Joining the support team to help customers use Zenoti effectively to run their business. Following defined team processes when working on issues. Taking pride in the quality of the work produced. Zenoti provides an all-in-one cloud-based solution for the beauty and wellness industry covering online appointment bookings, point of sale, CRM, employee management and inventory management, so the customers are salon and spa businesses whose day stops when the software does. LOCATION AND WORKING PATTERN Hyderabad. The team is described as working 24x7x365, and the posting says consultants have to work when customers need help. Night shifts and five days a week in the office are both stated in the requirements. BEFORE YOU APPLY Education filter in the title itself: the requisition is titled Product Support Specialist with MBA background from Tier 1 or Tier 2 only. That gate is applied before experience is considered, so if you do not hold an MBA from an institute the company classes that way, this specific posting is closed to you regardless of your support background. We list it because the experience bar is genuinely low and the filter is stated openly rather than applied quietly, but you should know it before spending time on an application. HONEST FIT GUIDANCE Someone one to four years into customer-facing technical support who holds an MBA matching the stated filter and can genuinely commit to night shifts and five days in the office. Those three conditions together are narrow, but all three are published rather than hidden, which is more than most postings manage.
Added August 9, 2026
What the posting asks for: 1 to 2 years of hands-on experience in DevOps, Platform Engineering or Cloud Engineering. Strong Python programming is listed as mandatory, including experience building automation tools and scripts in Python. Hands-on experience with modern DevOps tooling, Kubernetes, Infrastructure as Code and CI/CD pipelines. The team is building automation powered by generative and agentic AI on top of its cloud infrastructure, so interest in applying AI to operational problems is part of the pitch. The actual day to day: help maintain uptime of the SaaS service and implement process improvements that raise it, deploy production applications, help keep the production environment secure, begin writing code that automates infrastructure maintenance and deployments, support developers and work with more senior teammates to understand why architecture and design decisions get made, and write good documentation and runbooks. The posting also asks you to build an understanding of the whole product, and describes the goal as developing TechOps skills to become a core member of the operations team. Location and office reality: Pune, India. The posting does not describe this as a remote role and does not state office days. Honest fit guidance: this is the most accessible role in today's edition and the only one that names a 1 to 2 year band. It suits someone out of a first DevOps or cloud job, or a strong graduate who has genuinely written Python automation rather than only studied it. If you have no production Python, the mandatory line will be a real filter. If you already have four or more years in SRE work, this will be a step down in scope. Note on the link: LogicMonitor's own careers page returns an error on the URL its job feed publishes. The working link, which we checked and which loads this exact role, uses the plural careers path.
Added August 8, 2026
Graviton publishes NO years of experience requirement for this role, which is why it is grouped as entry level here. What it asks for instead: Required - A degree in a highly analytical field such as Engineering, Mathematics or Computer Science, from what the posting calls top tier global institutes. - Basic familiarity with Linux and command line tools. - Foundational programming skills in C or C++, plus scripting in Perl, Python or Shell. - Strong problem solving with advanced mathematical and quantitative reasoning. - Clear communication, specifically the ability to explain complex technical ideas. - A strong quantitative mindset and genuine interest in data driven problem solving. Good to have (explicitly optional) - Experience with high frequency trading systems and infrastructure. - Knowledge of market microstructure and HFT strategies. - Familiarity with low latency programming and optimisation techniques. The day to day - Working alongside senior traders to implement and improve automated trading strategies. - Analysing production trades and proposing strategy enhancements from what you find. - Designing monitoring tools that surface problems in live strategies early. - Writing scalable C++ and Python scripts for risk attribution and performance breakdowns. - Building post trade systems that compute statistics across every production strategy. - Building centralised market data analysis tooling across exchanges. - Overseeing deployment and release cycles with a senior trader. Location and working style Gurugram, Haryana. The posting describes cubicle free offices and a non hierarchical culture, and lists fully covered commuting expenses, catered breakfast and lunch, four weeks of annual leave plus market holidays, gym and sports club memberships and an annual international team outing. Nothing in the posting offers remote work. Honest fit guidance Read the institute line carefully before you spend an evening on the application. Graviton is a selective prop shop and this posting names top tier global institutes explicitly, so it is a real filter rather than boilerplate. The compensating fact is the skills bar: no years demanded, and the programming ability asked for is described as foundational rather than expert. If you are a strong CS, maths or engineering graduate who enjoys C++, Linux and probability, this is one of the very few genuinely open doors into quant trading in India. If your background is web or app development with little maths depth, the Quantitative Analyst - Risk posting from the same firm asks for 3+ years and is a closer match.
Graviton publishes NO years of experience requirement here either, and says explicitly that market knowledge is not expected. Required - A degree in a highly analytical field such as Engineering, Mathematics or Computer Science. The posting names IITs. - A quantitative bent of mind. - Working knowledge of Linux or Unix. - Programming experience, preferably in C++ or C. - No prior knowledge of financial markets is needed, but a strong interest in learning about them is required. That sentence is quoted from the posting because it is the whole reason this role is worth an application from outside finance. - A strong work ethic. The day to day - Developing new trading models and improving existing ones on in house platforms. - Using advanced mathematical techniques to model and predict market movements. - Analysing large financial datasets to identify trading opportunities. - Providing real time analytical support to experienced traders. Location and working style Gurugram, Haryana. Same benefits package as the firm's other openings: covered commuting, catered breakfast and lunch, four weeks annual leave plus market holidays, gym and sports memberships, regular social events and an annual international team outing. No remote option is offered. Honest fit guidance Two roles from this firm sit in the entry level group today and they are not the same job. This one is model building and prediction, weighted toward mathematics and research. The Quantitative Analyst role is production facing: monitoring, tooling and release management for strategies already trading. Pick by which half of that appeals, because the interview will go deep on it. The institute filter is real and named. Set against that, the posting asks for zero years and zero finance background, which almost nothing else at this level does. If you have done well in probability, statistics, linear algebra or algorithms and you write C++, you meet the stated bar. Do not self reject on the finance gap: the posting says outright that it is not expected.
Required - 1 to 3 years of experience in software engineering or machine learning in a similar capacity. The posting adds, in the same sentence, that internships count. That is unusual and it is why this role leads the entry level group today. - Machine learning and inference work, with the optimisation focus described in the posting. - Software engineering fundamentals: this is an engineering seat, not a pure research seat. The day to day Inference focused machine learning engineering: getting models to run efficiently on Cerebras hardware, working on model optimisation and the serving path, and evaluating performance. Cerebras designs wafer scale chips, so the work sits unusually close to the hardware for an ML role, and the neighbouring openings on the same board (ML systems performance, post silicon bring up, physical design) show how deep that stack goes. Location and working style The posting lists the India office, and Cerebras states elsewhere on its board that it can work in a hybrid environment. Confirm the exact office and the number of days on site at the first screen, because the listing gives the location as India Office rather than naming a city. Honest fit guidance This is the most accessible genuine engineering role on today's list, and the internships clause is the reason. Treat "1 to 3 years" as the real bar rather than a formality, but do not add imaginary requirements on top of it: the company wrote down that project and internship work counts. Be clear eyed about the domain. This is inference and systems work at an AI chip company, so comfort with performance, profiling and low level thinking will matter more than familiarity with the latest model architectures. If your ML experience is entirely notebooks and fine tuning APIs, expect the interview to push toward engineering fundamentals. Cerebras has five roles on this edition across very different levels, from this one at 1 to 3 years up to a 10+ year full stack ML lead. They are separate teams, not one requisition posted five times, and applying to the level that matches you is worth more than applying to all of them.
Added August 7, 2026
Zscaler asks for 1 to 3 years of software development experience, and states plainly that equivalent experience through internships, co-ops or substantial project work counts. That wording is why this role sits at the bottom of today's list: it is one of the few postings on the board that tells a recent graduate they are eligible. What you will actually do: build, test and maintain custom Jira Data Center apps, plugins and scripted extensions using Java, Groovy and the Atlassian SDK. Build and maintain integrations between Jira and Confluence, ServiceNow, Slack, CI/CD pipelines and SSO using REST APIs and webhooks. Work directly with business and engineering stakeholders to turn raw requirements into workflows, schemes, permissions, automation rules and reporting. Contribute to the Jira Data Center to Cloud migration through app compatibility assessments, data mapping, migration tooling, dry runs and post migration validation. Support platform operations alongside the team: upgrades, patching, performance tuning and troubleshooting production issues on AWS. Location and office: hybrid, based in Bangalore. Honest fit guidance. Be clear eyed about what this is. The artifact is Zscaler's internal engineering tooling, not the security product, so if your goal is to work on the Zero Trust Exchange itself this is the wrong door. What you get instead is genuine Java and Groovy development, real API integration work, AWS operations exposure and a platform migration to put on a CV, at an experience bar almost nothing else on this board will accept. Zscaler also states it expects candidates to actively use AI tools in their work, and lists that as a minimum qualification rather than a nice to have.
Added August 6, 2026
Asks for 1 to 3 years as a software engineer, developer advocate or in a technical content role, with real code shipped to real users. Strong Python, ideally TypeScript too. The posting weights public work heavily: a project, repo, blog, talk or demo, and says plainly that it cares about this more than credentials. You need genuine interest in speech, translation and large language models, particularly for Indian languages, though it does not ask for ML research experience. Clear writing is called out as core, not a bonus, because docs, tutorials, Discord replies and commit messages are all part of the job. Day to day: build end to end cookbook recipes that each ship with a working Open in Colab notebook, write blog posts, tutorials and quickstarts, present some of them as talks and livestreams, ship and document integrations, fix friction in the SDK and docs site, and track SDK installs, cookbook usage, error rates and integration adoption to tell the team what to build next. Nice to have: building with LLM, voice or speech APIs, open source contributions, speaking at meetups or conferences, or an existing developer audience. Location is Bengaluru. No office day count and no interview process are published. Honest fit note: this is developer relations, not core product engineering. If your goal is to spend your day building the model or the platform, this is not that job. If you like explaining hard things and being the first developer experience someone has with a product, it is a strong entry point, and the years bar is genuinely low for a company of this profile.
Added August 5, 2026
Published requirement: 0 to 2 years of experience in a technical role, and the posting explicitly counts consulting, pre sales, technical support or an internship towards that. This is the lowest experience bar we have published in several weeks and the posting describes itself, in its own words, as an early career technical role, so the level is not our interpretation. Location is Pune, named in the job title. Desired technical knowledge as published: an understanding of TCP/IP and related network protocols including TCP, ARP, ICMP, DHCP, DNS, HTTP and SNMP, along with familiarity with protocol and packet analysis tooling; knowledge of information security protection, detection and authentication systems such as firewalls, intrusion detection and prevention systems and anti virus; knowledge of commonly accepted information security principles and practice, including the techniques attackers use to find vulnerabilities, gain unauthorised access and escalate privileges; in depth knowledge of current operating environments across Microsoft, Linux, other operating systems and cloud providers; and exceptional analytical ability. What the job actually involves: supporting the pre sales engineering function by demonstrating the technology, assisting with proofs of concept and contributing to customer success, while working directly with field solutions engineers, sales teams and clients. It is stated as a learning role, with the purpose being to develop into delivering performance and security solutions. Honest guidance for early career applicants. This is customer facing technical work, not software engineering, so you would spend your time explaining, demonstrating and troubleshooting rather than building product. That is a legitimate and well paid career track and solutions engineering pays strongly at senior levels, but it is a different path from software development and it is worth choosing deliberately. If you have solid networking fundamentals and enjoy explaining technical things to people, this is a genuinely rare opening. Apply quickly, entry level roles at this quality close fast.
Added August 1, 2026
What the posting asks for: - 6 months to 1 year of relevant work experience. This is the stated bar and it is genuinely junior. - SRE experience with large production environments. - Natural curiosity, close attention to detail and strong troubleshooting instincts. - Ability to analyse a complex system and then explain it in simple terms. - The team works in Go, Java, Python, C++ and Linux. The posting asks which of those you use rather than demanding all of them. What the job actually involves day to day: - Leading investigations into emerging customer issues and engineering the fix. - Building services and AI tooling that diagnose and protect the installed fleet. - Designing analytics that monitor fleet health and flag problems before customers hit them. - Working across most of the engineering organisation, which the posting frames as a fast route to learning the whole codebase and building an internal network. - Representing customer problems back to engineering peers, and sometimes representing engineering in front of customers. - Taking part in an on call rotation that responds to outages worldwide. Location and office reality: Bangalore. Everpure states across its postings that it is primarily an in office environment and expects attendance at the Bangalore office outside leave and work travel. Honest fit guidance: the years bar is low but the work is not easy, and on call is part of it from the start. If you want a first or second job where you are handed hard debugging problems on real production systems, apply. If you are looking for a role with no customer contact and no pager, this is not that role.
Added July 31, 2026
Required by the posting: a B.S. degree in Computer Science, Electrical Engineering, Computer Engineering or a related discipline. Deep understanding of computer science fundamentals, particularly operating systems, concurrency, multithreading and server architectures. Strong programming skills in C++ or C. A firm grasp of algorithms and data structures. A stated passion for building highly reliable software. That is the complete requirement list. There is no years of experience bar anywhere in this posting, and no prior industry experience is asked for. The real day to day: the posting names the actual projects rather than speaking in generalities. Engineers here work on cutting edge areas like LLM support and vector indexing, improving the fault tolerance of a SingleStore cluster, accelerating SQL query performance with techniques such as SIMD vectorisation and LLVM code generation, or writing the search and costing modules inside the query optimiser. The posting says its University Graduates are responsible for both brand new and existing projects that get deployed into production with each release, and that the work spans writing software through to testing it. Teams are small and collaborative, with release cycles running throughout the year. Location and working pattern: the board lists the location simply as India, and the requisition sits in SingleStore's Hyderabad office. SingleStore is headquartered in San Francisco with offices including Bangalore and Hyderabad in India. Honest fit guidance: this is the most accessible role in today's edition by a wide margin, and it is the first explicit graduate requisition this board has carried since 2026-07-30. The trade is that the bar is depth rather than years. C++ on a distributed database engine is unforgiving work, and the posting expects operating systems and concurrency knowledge you can actually use, not just coursework you can name. If you are a final year or recently graduated CS student who has written real C or C++ beyond assignments, apply. If your background is web development in higher level languages, this specific team is a stretch, and SingleStore's other India postings sit at 3 years and above.
Added July 30, 2026
Required by the posting: a Bachelor's or Master's degree in Computer Science, Computer Engineering or an equivalent field. Understanding and working proficiency in Python, C and C plus plus. Knowledge of networking, operating systems and security. Understanding of unit and integration testing, and the ability to write, debug and deploy testing frameworks. Experience with traditional relational databases such as MySQL, Postgres or Oracle. A keen interest in software development evidenced by side projects, ideally including open source contributions. Desired, not required: Scala, Spark or Java. The day to day, as the posting describes it: work in a small team, do detailed peer code reviews, tackle distributed computing problems, help build continuous integration and delivery on managed AWS services, operate your team's services in production, write unit, integration and load tests, and build monitoring and alerting. Location reality: the posting says this role is remote and based in India, but it names five states only, Karnataka, Tamil Nadu, Telangana, Maharashtra and New Delhi. If you live outside those, check before you invest time in the application. Twilio describes itself as remote first. Who should apply: final year students and recent graduates. The posting states plainly that not all applicants will match the description exactly, that Twilio values experience from other industries, and that people whose careers are just starting or have not followed a traditional path are encouraged to apply. It also says the company uses AI in its hiring process while every hiring decision is made by a person. There is no years of experience bar anywhere in this posting, which is what makes it worth your application if you are at zero.
Added July 27, 2026
What the posting requires: - 0 to 1 years in software development, ideally with internships in integrations or data tools. This is the stated candidate persona and it is the reason this role is on the list. - A B.Tech in Computer Science or equivalent from a reputed college. This is stated in the posting. - Basic object oriented programming skills and familiarity with design principles. - Exposure to data pipelines or APIs, and eagerness to learn concurrency and performance basics. - Foundational knowledge of REST APIs, for example making calls and handling JSON. The posting says explicitly that no deep expertise is needed here. - Proficiency in Java, TypeScript or Python, with good problem solving using data structures and algorithms. - Strong analytical and logical thinking for real world challenges. What the work actually looks like: - Implement SaaS connectors for assigned applications, learning application specific nuances such as basic auth and data extraction. - Assist in building simple REST API components, focusing on clean implementation and testing. - Debug and optimise code for data pipeline efficiency, under mentorship. - Contribute to feature breakdown, coding and documentation for smaller tasks. - Apply logical thinking to solve integration issues and improve component quality. What this tells you about the role: the words under mentorship and assist appear in the responsibilities, which is a good sign for a first job. You are not being asked to own a system alone. The work is connector and integration engineering, which is a real specialism and a useful one, since almost every SaaS company needs people who can make two systems talk to each other. About the company: Hevo is based in San Francisco and Bangalore, powers data analytics for more than 2,000 companies across 45 plus countries, and states its mission as building technology from India for the world that is simple enough that anyone can unlock the potential of their data. Location and working pattern: Bengaluru. Office days are not stated. Honest fit guidance: if you are a recent graduate or in your first year, this is the role on today's list to spend your best application on. The degree requirement from a reputed college is stated explicitly, so know that going in if your background is non traditional. Prepare by being able to talk about an API you have consumed and a data problem you have debugged, because that is exactly what the responsibilities describe. No interview process is published.
Added July 24, 2026
What the posting asks for: - Up to 5 years of experience building end to end applications. Read that carefully: it is an upper bound, not a minimum, which is why this role is open to people early in their careers. - A strong understanding of AI and machine learning fundamentals: NLP, LLMs, embeddings and prompt engineering. - Proficiency in Python and working with REST or GraphQL APIs. - Experience with prototyping frameworks such as Flask, FastAPI or Streamlit. - Familiarity with go to market systems such as Salesforce, HubSpot or Marketo, or BI tools such as Tableau or Looker. - Strong problem solving skills and the ability to prototype quickly. Abilities the posting calls out separately: - Turning messy go to market data into usable inputs for AI models. - Mapping AI outputs back into real workflows and processes. - Explaining technical solutions clearly to non technical people. - Balancing fast experimentation against reliability and compliance. The day to day: building internal applications on LLMs and AI APIs such as OpenAI and Anthropic, integrating AI into go to market tools, writing scripts and automations for data enrichment and reporting, rapidly testing new models and APIs and building MVPs, documenting performance and accuracy for each use case, working with Marketing, Sales and BizOps to find their pain points, running demos and training for internal users, and maintaining what you deploy. How success is measured, which the posting states unusually clearly: two or three working AI prototypes that go to market teams actively use, at least two workflows automated or optimised, documentation good enough to make the work transferable, and measurable gains in productivity. Experience: up to 5 years, with no minimum stated anywhere in the posting. Location: Bangalore. Who should apply: anyone from roughly zero to five years who can actually build with LLM APIs and wants a role where shipping a working prototype counts more than pedigree. The honest caveat is that these are internal tools for sales and marketing teams, not customer facing product engineering, so weigh that against the low bar to entry.
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: - 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.
Added July 22, 2026
What the posting asks for: a degree in a highly analytical field such as Engineering, Mathematics or Computer Science, and up to 2 years of experience with Python and shell or Bash scripting. You need working Linux and command line skills, hands on experience with SQL and NoSQL databases, strong problem solving and analytical ability, clear communication, and the temperament to stay calm and methodical while production is broken. Nice to have, not required: familiarity with monitoring and alerting stacks such as Prometheus, Grafana or ELK, exposure to Kafka and Redis, experience with CI/CD pipelines and deployment automation, and any prior time in a support, SRE or production engineering role. The real day to day: monitoring production services and trading systems, responding fast to alerts, incidents and outages, triaging across trading support services, databases and infrastructure, escalating to the right owners, and driving fixes to completion. You will also build automation to cut repeated manual work, improve observability by extending monitoring, logging and alerting, and maintain operational runbooks and SLO and SLA metrics. Location and setup: Gurugram, Haryana, on site. Graviton describes an open plan office with no cubicles, catered breakfast and lunch, a stocked kitchen, 6 weeks of paid vacation and an international team outing. Honest fit guidance: read the phrase "up to 2 years" as an upper bound, not a floor, which makes this reachable straight out of college if your Python, Linux and database fundamentals are solid. It suits someone who likes operational work and debugging live systems more than greenfield feature building. Trading support means production pressure and incident response are the job, not an occasional interruption. The posting does not publish an interview process.
What the posting asks for: a Bachelor's degree in computer science or a related field, proficiency in Linux and C or C++, and strong problem solving with the ability to work independently. Netradyne states the experience range as 1 to 3 years. Nice to have, not required: familiarity with Agile development methodologies and an understanding of Python. The real day to day: designing and implementing software solutions for the IoT platform, turning functional and technical requirements into detailed architecture and design, building scalable and high performing systems, architecting data driven solutions, writing documented and testable code, troubleshooting and debugging complex production issues, and applying software development best practices. Location and setup: Netradyne states this explicitly, which is unusually clear. Employment type is full time, the work model is on site, and the shift is general shift, 5 days a week. The office is HM Tech Park, Whitefield, Bangalore, and the posting notes potential for some work flexibility. Treat this as a 5 day in office role in Whitefield unless the recruiter tells you otherwise. Honest fit guidance: this is one of the few roles on today's board that a first job engineer can actually clear, but the C and C++ requirement is real and the work is embedded, not web or application development. If your experience is in Java or Python web stacks, the title will fit and the skills will not. Netradyne also publishes a recruitment fraud warning: official communication comes only from addresses ending in netradyne.com or us-greenhouse-mail.io, the company never asks for payment for equipment, and it does not use agencies that charge candidates a fee. The posting does not publish an interview process.
What the posting asks for: 1 to 3 years of L2 technical support experience with enterprise SaaS platforms in a customer facing role, AWS cloud preferred. Mindtickle also wants a track record handling technical issues in production while supporting distributed systems, experience supporting a multi tenant SaaS product including its integrations and configuration management, and hands on troubleshooting of AI powered features with the ability to separate model issues from data, configuration or system level failures. Knowledge of authentication and enterprise integrations is required, specifically SSO protocols such as SAML, OAuth 2.0 and OpenID Connect. The real day to day, in three parts. Operational support: responding quickly to customer queries, providing workarounds while permanent fixes are built, owning tickets to SLA, acting as an escalation point, and working across Product, Engineering, Quality Engineering and DevOps to kill recurring issues. Technical investigation: reproducing and debugging problems across backend services, APIs, data flows, UI behaviour and AI components, capturing browser logs, HAR files and network traces, analysing AI decision paths and validating model outputs for drift or anomalies, and running structured impact and severity analysis before escalating. The named tooling is Zipy, Datadog, SumoLogic, FullStory, Mixpanel and Metabase. Knowledge work: building runbooks, playbooks and troubleshooting guides, converting solved issues into product and documentation improvements, and running deep dive sessions and post incident walkthroughs. Automation: writing Bash, Python and SQL to automate log extraction, data analysis and issue replication, and contributing to AI assisted troubleshooting tooling. Location and setup: Pune, Maharashtra. The posting does not state office days. Honest fit guidance: this is support engineering, not product engineering, so you will be measured on resolution and SLA rather than shipped features. In exchange you get real depth in distributed systems debugging and unusually direct access to Engineering and Product. Mindtickle itself frames it as an L2 role with more influence than most. Good fit if you enjoy diagnosis and customer contact, poor fit if you want to be writing product code most of the week. The posting does not publish an interview process.
Added July 20, 2026
No years stated. Data pipeline work: ingestion, processing, indexing.
No years stated. Familiarity with OWASP Top 10 and finding real issues.
No years stated, but Go experience is required.
No years stated. Fullstack, with support from senior and staff engineers.
⚠️ Eligibility changed on this posting and we have corrected it. ChargePoint edited this same requisition after we first listed it. It originally read "B.A / B.Com / BBA graduates only" and it now reads "Only BCA/B.Sc. graduates", with the body asking for a bachelor's degree (BCA or B.Sc) from the **2025 or 2026 batch**. If you are a B.A, B.Com or BBA graduate, you are no longer eligible for this one, and we are sorry if you saw the earlier version here. Required by the posting: a bachelor's degree, BCA or B.Sc, 2025 or 2026 batch. **Fresher or a minimum of 1 year of experience** as a Technical Support Engineer providing phone support. Excellent English communication, described as a must. The ability to read and understand site drawings, field repair guides and product specifications. Exceptional troubleshooting and advanced analytical thinking for resolving complex issues that span hardware and software. Ability to convey complex concepts clearly in writing and verbally. Account management skills, including investigating current and historical issues for specific accounts. Ability to work with minimal supervision. A tenacious commitment to customer focused support, and comfort making complex decisions. Nice to have: additional certification in Microsoft, Linux, networking or similar technologies. Familiarity with Jira or other bug management tools. The real day to day: providing technical and network problem resolution to end users by diagnosing issues and engineering solutions. The posting lists the actual mechanics: adjusting network configurations, verifying and applying correct software configurations, working with field technicians to troubleshoot and correct physical installation issues, and compiling, pulling and parsing station and network logs. Where an issue is large enough you work directly with the product and engineering teams. You also create test plans, test cases and other documents based on software specifications. Reporting line and location: reports to the Senior Manager, Technical Support. Bangalore, India. Honest fit guidance: this is a support engineering role, not a software development one, so you would be debugging and configuring rather than building. That said, it is one of the very few postings on this board that says "Fresher" in its requirement list, and hardware plus software fault diagnosis on an EV charging network is a real technical foundation. If you are a 2025 or 2026 BCA or B.Sc graduate, this is worth a careful application.
Strong Java and OOP. Bachelor's in maths, CS or similar. About 1 year.
Bachelor's or master's in CS. About 1 year in test automation or SDET.
About 1 year building tools or test automation.
Basic Java, Linux and CI/CD. About 1 year of experience.
Any technical degree. No years of experience stated in the posting.
Strong ReactJS and TypeScript. No years of experience stated in the posting.
Added July 18, 2026
About 1 year of experience. Degree in Computer Science, Information Security or related.
About 1 year of experience. Hybrid working from Bangalore.
1 to 3 years. Linux systems and middleware experience.
1 to 3 years. QA for IoT devices. Five days per week in office.
About 1 year of experience in systems or cloud infrastructure.
About 1 year of experience. Interest in reliability engineering and production systems.
About 1 year of Android development experience. Kotlin or Java.
About 1 year of experience. Interest in security automation and DevSecOps.
About 1 year of experience in information security, privacy or compliance.
1 to 3 years in network operations or network engineering. Entry level scripting in Python or Go. Knowledge of VxLAN is an advantage.
1 or more years in a similar technical support role. Comfort debugging customer facing issues.
Entry level backend software engineering role (SDE I) on the CommerceIQ engineering team in Bengaluru. Open to 1 to 3 years of experience.
Early career software engineer joining the Instawork Robotics Labs team in Bengaluru.
SQL, PL/SQL and data modeling. Oracle ERP Cloud Financials (BIP and OTBI reports).