Mock · Backend · Middle
AB
An IT gym for a global career
The most engaging way to grow in IT, prepare for interviews, and find job openings and other opportunities.
Run FAANG-style mock interviews with a peer, timed coding quizzes, a pet-project portfolio and remote job matches.
- Basic plan is freeSuper when you want more
- Telegram is optionaleverything works on the website
- International hiring loopsnot a regional job board
Everything in one place
What's inside the platform
A practice gym for engineers targeting product-company interview loops
- FAANG
- Big Tech
- Scale-ups
- Remote-first
Today’s progress
0%
Log in to complete tasks and earn XP
Log inPlans for candidates
Plans for employers
Pinned to the board
Reviews
A genuinely useful tool! I quickly found a practice partner, we rehearsed typical questions and tough cases together. Prep was efficient and low-stress — and it ended with an offer! Huge thanks to the creators; the bot really helps build skills and confidence before interviews. Highly recommend! 🚀
Thank you 🙏 It really helped with prep and landing a job 🔥
An absolute gem! 🔥 Saved my interview prep. Studying alone is hard; with a partner it feels like a real interview. We drilled algorithms, debated architecture, and fixed each other's mistakes. I felt much calmer walking into the employer meeting. Result: offer received! If you're tired of prepping in a vacuum — try it! 🙌
Great bot! Helped me find a partner for IT interview prep. Studying together was far more effective, and I passed the interview and landed a job. Thank you ☺️
Interesting project! Connecting developers is exactly what we need right now.
A useful trainer for IT interview prep 🔥🤙
Awesome bot — great for finding practice partners. Recommend.
We publish user reviews in our Telegram channel. Tell us how your prep went.
Read before the loop
Blog
Field notes on interview loops, hiring practice, and growing as an engineer.
Do AI coding assistants make teams faster?
55% faster in one lab task, 19% slower in a field trial, more throughput and more incidents in DORA 2025. What the numbers measure and how to test it on your team.
How to write a job post engineers actually read
Engineers decide in the first screen: stack, salary, team, interview steps. A template in that order, a before-and-after rewrite, and the EU pay rules since June 2026.
Kubernetes interview questions 2026
Twenty questions that keep coming up for platform and backend roles, with the follow-up that separates juniors from seniors, plus what changed in 1.33 to 1.35.
Internship interview questions
What a two-round intern loop actually asks: one coding problem with follow-ups, a few questions about your project, and host matching that can take eight weeks.
Behavioral interview for senior engineers: 15 STAR stories
Fifteen story slots a senior loop keeps probing: conflict, a wrong call, an outage, influence without authority. How to fill them from your own work.
System Design at DoorDash: How to Pass an Interview in Real Logistics
DoorDash system design is logistics, not vacuum abstractions: courier dispatch, ratings, promos, and real-time tracking. Round format, rubric, typical prompts, and an IT Career Gym prep plan.
System Design at Amazon: How to Pass the Interview Without Failing on Soft Skills
Amazon system design tests architecture and soft skills: Leadership Principles, Bar Raiser, trade-offs. Round format, rubric, typical prompts, and an IT Career Gym prep plan.
How AI Product Manager Interviews Are Structured
Real AI PM interview questions from OpenAI, Meta, Google, and Anthropic in 2026: Product Sense, RAG, hallucinations, vibe coding, strategy, and behavioral rounds.
How Is AI Changing Interview Processes? Not Much—and Very Much at Once.
A survey of FAANG and startup engineers: what actually changed in questions, cheating detection, and the return to in-person interviews.
How a pair mock interview works: five steps and finding a teammate
A pair mock is five steps: match a partner at your grade, pick a slot, prep questions, run two timed halves with feedback, then keep the pair if it works. Board, call links, and a 60-minute teammate session included.
How Stripe System Design Interviews Work: A Complete Guide
Real Stripe tasks instead of "design Twitter": ledgers, transaction APIs, authorization, rate limiters. Evaluation rubric, top 5 questions, and prep strategy.
More Filters, Same Broken Process: How AI Sourcing Tools Make Hiring Worse
Why the new wave of AI sourcing tools fails to fix hiring—and spins the technical recruiting death spiral faster than before.
Improving App Performance: Strategies for Optimizing Network Requests
How Coinbase cut excess API calls by 64% at peak: over-fetching, polling, GraphQL cache, and guardrails. An adapted engineering case study.
Stop Making Recruiters Think: Why Your Resume Fails and How to Fix It
Six edits that make your resume scannable in ten seconds: drop clichés, add company context, and show impact instead of duty lists.
45+ Interview Questions and Answers for AI Engineers (2026 Guide)
A complete AI engineer interview guide: LLM concepts, serving infra, RAG, agents, evaluation, and coding. Real questions from OpenAI, Anthropic, Scale AI.
How to Find Great Non-Traditional Candidates (When You Can't Rely on Brands)
Resume signals that reveal strong engineers without FAANG or elite schools: teaching assistants, focused programs, and how experience is framed.
The Other Side of the Coin: Why Interviewers Make Mistakes and How to Fix It
Candidates prepare for interviews like an exam, but interviewers often don't. We explore the imbalance, digging skills, and building an interviewing culture.
Stop Memorizing STAR for Behavioral Interviews. Start Picking Better Stories.
At Senior+ level, story choice matters more than answer format. A five-step prep algorithm with before/after examples from Meta and Amazon.
How to Win the Interview When the Interviewer Is Unprepared
Candidates prep like pros; interviewers often do not. How to avoid looking memorized, ask echo questions, go beyond URL Shortener, and still get an offer on a raw problem.
Who Is an AI Product Manager?
What an AI Product Manager actually does after ChatGPT: company types, day-to-day work, hiring red flags, and real interview questions. How to prep at IT Career Gym.
Complete Security Engineer Interview Guide 2026: From Theory to System Design
Security Engineer interview stages: technical round, SALT, STAR and behavioral. Networks, AppSec, cloud questions and how to practice on IT Career Gym.
An ML file assistant: how Dropbox taught algorithms to tidy folders
Dropbox smart move: human-in-the-loop, synthetic labels from already-organized folders, name embeddings, and why offline accuracy is not the same as users accepting suggestions.
The Last Week Before the Interview: A Playbook for Senior Engineers
Seven days to a technical interview: two routes — in shape vs in panic. A 5-day triage, a talking algorithm, a Big-O cheat sheet, and mocks instead of grinding LeetCode.
Why AI Will Not Replace the Recruiter (and What Your Career Has to Do With It)
AI is great at emails and calendars, not at judging people. Why LinkedIn and GitHub lie, why chemistry still decides offers, and how to prep for a live interview at IT Career Gym.
AI Won’t Replace Data Analysts. It Will Create New Ones — and You Can Be One of Them
AI takes data cleaning and boilerplate SQL, not business judgment. Who the Augmented Analyst is, which roles appear in 2026, and the skill checklist to close at IT Career Gym.
How Bitbucket Cloud sped up Git push over HTTPS by 8x
How Atlassian sped up HTTPS Git push in Bitbucket Cloud by 8x: HTTP/2 flow control and Edge proxy settings. A 2 GB import dropped from 2 hours to 15 minutes.
What is MLOps and why is it your ticket into serious AI?
MLOps is skill #1 for an ML career: the model lifecycle, how it differs from DevOps and AIOps, market tools, and an IT Career Gym career track.
How to Write a Resume for a Forward Deployed Engineer (FDE) Role: A Complete Guide
Write an FDE resume that proves ownership, production code, and customer work. Bullet formula, before/after examples, a one-page template, and prep at IT Career Gym.
Will AI Take Engineers’ Jobs? The Bar Is Rising
AI is not killing software engineering — it is raising the bar. Downleveling, architecture, and how to prep at IT Career Gym.
Forward Deployed Engineer vs Solutions Architect: Key Differences You Should Know
FDE vs Solutions Architect: who owns production vs the rollout plan. Skills, sales-cycle timing, 2026 pay, and how to prep at IT Career Gym.
Microsoft System Design Interview Guide (2026)
How Microsoft system design interviews really work: hiring-team panels, final loop leveling, Azure/Copilot domains, security/compliance, and growth mindset.
Topgrading: The Ultimate Playbook for Hiring A-Players
Bradford Smart's method: A/B/C players, a Scorecard instead of a marketing JD, TORC, and a five-stage funnel. How hiring managers verify the past — and how candidates practice at IT Career Gym.
Software engineering internships 2027: timeline and where to apply
Amazon opened in July, Google's window lasts two to four weeks in October. Month-by-month calendar, pay per hour, and what to do if you are starting late.
The Avito Interview in 2026: How to Pass Every Hiring Stage
Avito’s 2026 engineering loop: HR screen, Go and distributed systems, practical algorithms, listing-search system design, and a final culture round. A two-week plan plus mock interviews and quizzes on the gym.
Efficiency DNA: How Stripe's Principles Shape the Dream Team
The stripes' code: Users First, Politely Relentless, and writing over meetings. Three culture dimensions, an interview red-flag map, and a feedback loop for engineers and managers.
My manager won't promote me. What do I do?
The three pillars of promotion and stories from Amazon, Meta, and Microsoft: readiness, perception, and when to speak up about your career.
Go Interview Theory: 22 Core Questions Explained with Tables and Diagrams
A Go theory cheat sheet: goroutines vs threads, buffered channels, the G-M-P scheduler, concurrent GC, slices vs arrays, maps, strings, interfaces, defer, data races, context, and runtime init. Tables, pitfalls, 30-second answers.
Data Scientist vs Data Engineer in 2026: The Complete Career Guide
A 2026 career comparison: Data Engineer vs Data Scientist across work, stack, salaries, degrees, specializations, and market growth. Tables, workflows, a decision framework — then practice the answer on a mock.
System Design Interview Theory: 12 Must-Know Concepts
Master 12 core System Design interview topics: replication, sharding, databases, indexes, proxies, load balancing, distributed transactions, outbox/inbox, backups, partitioning, replication modes, and delivery guarantees.
Algorithm & Data Structure Interview Questions: The Complete Guide
The six theory prompts that show up beside coding tasks: sorting families, graph shortest paths, dynamic arrays vs lists, balanced BSTs, complete trees, and hash collisions. Trade-offs, follow-ups, and a complexity cheat sheet.
System design for agentic AI: interview questions and answers
Eight prompts that showed up in 2026 loops, a six-box skeleton for any agent, and the follow-ups that sink candidates: retries, approvals, cost per task.
Structured technical interviews: less bias, better hires (and AI Act ready)
Same questions, anchored 1–4 scores, notes before the debrief. Validity 0.42 against 0.19 for a chat, and the paper trail the AI Act will ask for in Dec 2027.
System Design Interview Prep & Questions (2026 Guide)
A 2026 prep map: what changed, real prompt families, a five-step 45-minute loop, week plans — then timed quizzes and a pair mock so the list is not memorization.
How to pass a coding interview when AI assistants are everywhere (2026)
Some loops hand you an assistant, others disqualify you for opening one. Which companies do what, how the AI-enabled round is scored, and a drill for both.
AI product manager career path: skills and first job
AI PM is rarely anyone's first product job. Three doors in, the six skills interviewers test, one eval you can build in a weekend, and pay bands for 2026.
The 10 Best System Design Books to Sharpen Your Skills in 2026
A 2026 reading list for system design interviews: Kleppmann, Xu, Newman, Huyen — then quizzes, a pair mock, and Gym courses so the books do not stay theory.
What Is a Data Scientist? Role, Skills, and Career Path for 2026
A 2026 guide to the data scientist role: daily work, vs analyst and engineer, Python/SQL/ML, pay bands, and a skill map you can practice on a mock.
Questions at the whiteboard
All questions
Frequently Asked Questions
Answers to the most popular questions about the IT‑Career‑Gym platform
IT‑Career‑Gym is a platform for IT professionals and employers: it matches you with a partner for mutual mock interviews, offers quizzes on technologies and languages, a participant rating, and job and resume postings. It runs as two interfaces over shared data — the website and a Telegram bot.
You create a request: pick a direction (IT or a foreign language), a specialization, your own grade and the grade range for your partner. The system looks for a counterpart request that suits both sides and, once a pair is found, shows the contact in your account on the website (My subscriptions). You may also get an email or Telegram notification depending on your settings. You run the interview yourselves — time and format are up to you.
Click "Register" in the top menu, enter your name, email and password, and pick a role — specialist or employer. A confirmation code is sent to that address. You can also sign in with Telegram, in which case no password is needed.
No — Telegram is not required. Registration, partner search for mock interviews, vacancy matching, quizzes and the leaderboard all work on the website. When a pair or vacancy match is found, you see it in the header bell and in your account (My subscriptions, Match history). You can link Telegram in your profile for messenger alerts — it is optional.
The rating is the sum of points from quizzes, pet projects and matches. More practice moves you up. Reviews do not affect it.
IT interview courses and guides: mocks, System Design, C4
A paired-mock guide and two Stepik courses: System Design and C4.
How to run paired mock interviews
How to run an IT section, a language mock, and a walkthrough checklist — the meeting frame, not a video course.
Open the guide →System Design Website
Design a website from scratch the way engineering interviews ask for it. Price and progress live on Stepik.
Open on Stepik →C4 + AI: architecture diagrams without a messy board
Context / container / component / code — how to get a readable diagram, including with AI.
Open on Stepik →Nothing in this category yet
FAQ
Price, Stepik vs our guide, signup, and what to do after a course.
The IT Career Gym guide on this site is free. The two architecture courses are on Stepik — price and access live there. On this platform you can open the list, find a mock partner, and take quizzes without buying a “course pack”.
The guide is how to run a paired mock: IT section, languages, a walkthrough checklist. Stepik hosts full courses on System Design and the C4 model. Different formats — we do not glue them into one “learning path”.
You can read the on-site guide and open Stepik without an account. Finding a mock partner or taking a quiz on IT Career Gym needs registration.
Do not leave it as a “read later” tab. Find a partner on the match page or run a quiz. System design sticks when you explain the diagram out loud.
Not yet — we do not draw empty cards for those roles. Security, FDE, and hiring are covered in the blog. If another real course appears, it will land in this list.
Blog write-ups
PET projects
IT specialist portfolio: publish projects, earn likes and XP
—
Пет‑проект — это сигнал навыков сильнее строки в резюме: видно, что человек собрал, какой стек использовал и как оформил результат.
- Выберите стек и уровень в фильтрах ниже.
- Откройте карточку — GitHub, демо, описание задачи.
- Перейдите в кабинет кандидатов или опубликуйте вакансию под этот профиль.
Чтобы открыть полный каталог пет‑проектов, добавить работу или посмотреть свои проекты, войдите в аккаунт. Настройки подбора, примеры карточек и описание раздела ниже доступны без регистрации.
Настройки подбора
Примеры карточек — полный каталог после входа
Каталог проектов
0 проектовПока нет проектов
Станьте первым — опубликуйте свой пет‑проект
Как устроен каталог ПЭТ‑проектов на IT‑Career‑Gym
ПЭТ‑проекты — портфолио IT-специалистов: стек, категория, сложность и статус. Работодатели и коллеги смотрят живой опыт, а не только резюме. Публикация даёт лайки и XP в рейтинге.
Filter settings on this page are public: JavaScript, TypeScript, Python, Java, Go, React, Django, FastAPI, Docker; categories Web, Frontend, Backend, Mobile, Data/ML, DevOps, QA, Security. Sample cards are below. The full catalog, “My projects” and publishing unlock after sign-in.
Связка с платформой: прокачать стек — квизы, найти партнёра для мока — мэтч, вакансии — подбор работы. После входа проект появляется в каталоге с репозиторием, демо и описанием.
Создай свой пет‑проект
Заполните форму, чтобы поделиться проектом с сообществом и работодателями.
Post a Vacancy
Заполните форму — предпросмотр обновляется в реальном времени
My jobs
Список объявлений, отклики и статусы найма — без отдельной ATS.
Войдите как работодатель, чтобы открыть свои вакансии и отклики. Как устроен кабинет — в тексте ниже.
Статус меняется в списке на карточке; на компьютере карточку можно перетащить.
Что лежит в «Моих вакансиях»
Это рабочий список работодателя, не публичный каталог. Здесь черновики, активные объявления и архив: сколько человек открыли карточку и сколько отправили резюме.
Новую роль собирают в размещении вакансии. Как платформа ищет людей с практикой, а не только PDF, — на странице для работодателей.
Отклики по этапам
Доска делит отклики на новые, скрининг, интервью, оффер, наняты и отказ. На телефоне колонки листаются вбок; статус всегда можно сменить без перетаскивания.
Частые вопросы
- Чем «Мои вакансии» отличаются от каталога?
- Каталог видят специалисты. Здесь ваш список: черновики, активные и архив, просмотры и отклики. Публичная карточка открывается по своей ссылке.
- Что будет, если закрыть вакансию?
- Она пропадает из каталога и остаётся в архиве на этой странице. Отклики не удаляются. Решающий навык можно записать в базе знаний.
- Как смотреть отклики по этапам?
- Откройте «Доску». Статус меняется селектом на карточке или перетаскиванием. Сводка по одной роли — в воронке найма.
Hiring funnel
Просмотры, отклики и этапы по вашей вакансии
Knowledge base
Инсайты по закрытым вакансиям
Hire IT talent who are preparing for interviews right now
Applications come with quiz results, mock practice and pet projects. A hiring board and funnel, no separate ATS.
- Candidate matches
- Applications board
- Hiring funnel
- Knowledge base
Up to 5 jobs free · sign in with Google, GitHub or GitLab
hiring problems
What gets in the way of hiring, and how the platform handles it
You can't tell the real level from a résumé
The application shows stack quizzes, mock practice and the candidate's pet projects.
Hundreds of irrelevant applications
Job match in %, filters by stack and level, pre-screening questions.
Hiring lives in spreadsheets and email
A stage board, a funnel per job and a knowledge base, all in one workspace.
It's unclear what the job post is missing
The ATS score shows what to add before you publish: salary range, stack, work format.
inside the workspace
One workspace for the whole hiring process
Hiring funnel
Where candidates drop off, for every job.
Candidate comparison
Match, quizzes and projects side by side.
ATS check of the job post
A score and hints before you publish.
- Scoring and pre-screeningA skills checklist and questions before the interview, visible to HR only.
- Flexible publishingPublic, by link or scheduled. Drafts and an archive.
- Knowledge baseThe deciding skill for each closed role, so you see who you actually hire.
where to start
Your first job post in 5 minutes
- Employer sign-up
Email, or Google, GitHub, GitLab.
- Job post with an ATS check
Role, stack and level; the score shows what to add.
- Applications and matches
Candidates with a match score.
- Board up to the offer
Stages, funnel, knowledge base.
plans
Start free, pay for unlimited search
FAQ
Vacancies
Find a fitting vacancy and apply with your resume
Applications send your base resume from the Resume section.
No vacancies found
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Big Data Engineer – Java, Apache Spark, AWS EMR, Lambda, EKS & Airflow
Synechron/SynechronCareers · from the company careers page ·
not stated
- Format
- Office
- Employment
- Full-time
- Who can apply
- office or hybrid in the city
- Location
- Chennai - Taramani (Ascendas)
Apply onSynechron/SynechronCareers
You apply on the source site: we do not keep recruiter contacts. Build your CV in the Resume section
Did you apply on the source site?
Market for this role · Data Science
- Open roles on the site
- 6840
- Median per month
- €11 809
Median from roles with pay, in euros: 2193
Most often asked alongside
- Data · 0 %
- Data Engineer · 0 %
- Data Scientist · 0 %
- Python · 0 %
- Java · 0 %
Job Summary
Synechron is seeking a Big Data Engineer with 5+ years of experience in designing, developing and deploying scalable and reliable data-processing solutions on AWS using Java and Apache Spark. The role will focus on implementing big data processing pipelines using Apache Spark on AWS EMR, developing and deploying serverless applications using AWS Lambda, utilizing Amazon EKS for container orchestration and microservices management, and designing workflow orchestration using Apache Airflow. The position will contribute to business objectives by delivering reliable, scalable and maintainable data-processing solutions that support efficient data operations and application services.
Software Requirements
Required
Description 75
- Java: Strong hands-on experience in Java development.
- Apache Spark: Proficiency in Apache Spark for distributed data processing.
- AWS EMR: Experience implementing big data processing pipelines using Apache Spark on AWS EMR.
- AWS Lambda: Experience developing and deploying serverless applications using AWS Lambda.
- AWS Service Integration: Experience integrating AWS Lambda with other AWS services.
- Amazon EKS: Experience utilizing Amazon EKS for container orchestration and microservices management.
- Apache Airflow: Experience designing and implementing workflow orchestration for complex data pipelines.
- AWS: Experience designing, developing and deploying scalable and reliable data-processing solutions on AWS using Java and Spark.
- Project-Supported Versions: Ability to work with the versions of Java, Apache Spark, AWS services and related tools supported by the project.
Preferred
- No additional preferred software skills are specified in the requirements. Additional experience relevant to Java, Apache Spark, AWS, AWS EMR, AWS Lambda, Amazon EKS or Apache Airflow may be considered beneficial.
Overall Responsibilities
- Design, develop and deploy scalable and reliable data-processing solutions on AWS using Java and Apache Spark.
- Implement and maintain big data processing pipelines using Apache Spark on AWS EMR.
- Develop and deploy serverless applications using AWS Lambda and integrate them with other AWS services.
- Utilize Amazon EKS for container orchestration and microservices management.
- Design, implement and maintain Apache Airflow workflows for complex data pipelines.
- Develop maintainable Java applications and data-processing components aligned with technical requirements.
- Contribute to solution design, technical discussions and implementation decisions within agreed project standards.
- Test, troubleshoot and resolve application, pipeline, integration and deployment issues.
- Support reliable operation of data-processing solutions across relevant development, testing and production environments.
- Monitor application and pipeline behavior and contribute to improvements in scalability, reliability and maintainability.
- Collaborate with engineering, architecture, QA and delivery teams to clarify requirements and coordinate implementation activities.
- Contribute to code reviews, technical documentation, release activities and knowledge sharing.
- Apply appropriate data protection and cloud security practices during development and deployment.
- Use AWS resources efficiently and consider sustainable practices that reduce unnecessary compute, storage and network consumption.
- Deliver assigned work in accordance with agreed priorities, timelines and quality expectations.
Technical Skills (By Category)
Programming Languages
Essential
- Strong hands-on experience in Java development.
- Ability to develop clean, modular, reusable and maintainable Java code.
- Experience using Java to develop data-processing solutions and supporting application components.
- Ability to debug Java code and resolve functional, integration and deployment issues.
Preferred
- Additional experience with languages used in data engineering may be considered beneficial.
Databases and Data Management
Essential
- Experience implementing big data processing pipelines.
- Understanding of distributed data processing using Apache Spark.
- Ability to design data-processing workflows that support reliability and scalability.
- Ability to manage pipeline execution, dependencies and processing failures.
Preferred
- Additional experience with data storage, transformation, validation or integration may be considered beneficial.
Cloud Technologies
Essential
- Experience designing, developing and deploying data-processing solutions on AWS.
- Experience with AWS EMR for Apache Spark-based big data processing.
- Experience with AWS Lambda for serverless application development and deployment.
- Experience integrating AWS Lambda with other AWS services.
- Experience with Amazon EKS for container orchestration and microservices management.
- Experience using project-supported AWS service configurations and versions.
Preferred
- Additional experience relevant to AWS-based data-processing and application deployment may be considered beneficial.
Frameworks and Libraries
Essential
- Apache Spark: Proficiency in distributed data processing.
- Apache Airflow: Experience designing and implementing workflow orchestration for complex data pipelines.
- Experience integrating Apache Spark with AWS EMR.
- Experience using frameworks and libraries compatible with project-supported Java, Spark and AWS versions.
Preferred
- Additional experience developing reusable data-processing components may be considered beneficial.
Development Tools and Methodologies
Essential
- Experience with the design, development and deployment lifecycle for data-processing solutions.
- Experience deploying and maintaining applications and pipelines in AWS environments.
- Ability to troubleshoot data pipelines, serverless applications, containerized services and workflow processes.
- Ability to document technical solutions, workflows and deployment-related activities.
- Ability to collaborate with relevant technical and delivery stakeholders.
Preferred
- No additional development tools or methodologies are specified in the requirements.
- Experience with automated testing, deployment or monitoring practices may be considered beneficial.
Security Protocols
Essential
- Understanding of secure development practices for cloud-based applications and data-processing solutions.
- Awareness of appropriate access control for AWS services and deployed applications.
- Ability to protect data during processing, transmission and storage.
- Ability to manage application configuration and credentials securely.
- Ability to apply secure logging and error-handling practices.
Preferred
- No specific additional security protocols are specified in the requirements.
- Experience with cloud security controls for serverless, containerized and distributed data-processing solutions may be considered beneficial.
Experience Requirements
- 5+ years of experience in big data engineering, Java development, cloud engineering or a related technical role.
- Experience designing, developing and deploying scalable and reliable data-processing solutions on AWS using Java and Apache Spark.
- Experience implementing big data processing pipelines using Apache Spark on AWS EMR.
- Experience developing and deploying serverless applications using AWS Lambda and integrating them with other AWS services.
- Experience utilizing Amazon EKS for container orchestration and microservices management.
- Experience designing and implementing workflow orchestration using Apache Airflow for complex data pipelines.
- Strong hands-on experience in Java development and proficiency in Apache Spark for distributed data processing.
- Experience with AWS services including EMR, Lambda, EKS and Airflow.
- Experience supporting the deployment, troubleshooting and maintenance of AWS-based data-processing solutions is relevant to the role.
- Candidates may qualify through equivalent experience in Java-based data engineering, distributed data processing, AWS engineering or cloud-based application development that demonstrates the required capabilities.
Day-to-Day Activities
- Develop, test and deploy Java and Apache Spark data-processing pipelines on AWS EMR and troubleshoot pipeline issues.
- Build and maintain AWS Lambda applications, Amazon EKS services and Apache Airflow workflows in collaboration with technical teams.
- Participate in technical discussions, requirement reviews, code reviews, planning meetings, defect resolution and release activities.
- Make implementation decisions within agreed technical and security standards, document deliverables and communicate progress, risks and dependencies.
Qualifications 11
- A bachelor’s degree in Computer Science, Information Technology, Engineering or a related field is preferred; equivalent relevant experience may be considered.
- Certifications in AWS, Java, Apache Spark, data engineering or related technical disciplines are preferred but not mandatory.
- Practical training or demonstrated experience in Java, Apache Spark, AWS EMR, AWS Lambda, Amazon EKS and Apache Airflow is required.
- Training or experience in distributed systems, serverless applications, container orchestration and cloud-based data processing is beneficial.
- Commitment to continuous professional development in Java, Apache Spark, AWS services, Apache Airflow and related data engineering practices is expected.
Professional Competencies
- Applies critical thinking to understand data-processing requirements and design scalable and reliable technical solutions.
- Uses structured problem-solving to troubleshoot pipeline failures, application defects, integration issues and deployment problems.
- Collaborates effectively with engineering, architecture, QA and delivery teams and contributes to shared technical outcomes.
- Communicates implementation decisions, progress, risks, dependencies and technical concerns clearly to relevant stakeholders.
- Adapts to evolving Java, Apache Spark, AWS, serverless, container orchestration and workflow-orchestration technologies.
- Manages priorities, technical dependencies and delivery timelines while maintaining solution quality, reliability and maintainability.
S YNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .
Candidate Application Notice
Posted on the careers page of Synechron/SynechronCareers · updated . Spotted a mistake? Tell us
Vacancy matches
Filters → a search request → matching. We notify you when a job fits.
Sign in to create a vacancy search request. How matching works is explained below, no account needed.
How vacancy matching works
IT‑Career‑Gym looks for jobs against your request: role, stack, grade, work format and city. You can still browse the job catalogue — the request keeps working when an employer posts something new.
Applications send your base resume. The platform does not call HR for you: match, notification, vacancy card — you decide whether to apply.
Requests and notifications
Active requests live under My searches: pause them without dropping history. Matched jobs collect in a separate list — handy after a few notifications.
Email, Telegram, or both — pick a channel in your profile. While a search is running you may get a short reminder that the request is still on.
My vacancy searches
Active requests: pause or delete them while matching runs.
Sign in to see and manage vacancy search requests. How requests work is explained below, no account needed.
How to manage vacancy search requests
My searches holds your requests: role, stack, grade, format and city. Pause a request and the matched jobs stay in history.
A new filter set is built under vacancy matches. Each card shows whether search is running and how many jobs already fit.
When a request finds a job
Matched jobs open from the request card and also collect in match history. Applications send your base resume — the platform does not call HR for you.
Email, Telegram, or both — pick a channel in your profile. While a search is running you may get a short reminder that the request is still on.
Vacancy match history
Jobs that fitted your search requests
Sign in to see jobs that fitted your search requests.
Matched jobs
Sign in to see jobs for this request.
My resume
One resume per account — it is what you send to employers when applying.
Sign in to upload a resume and apply to vacancies.
Why a base resume
One resume per account is sent to the employer when you apply from the job catalogue and from matches. Formats: PDF, DOC, DOCX, RTF, TXT — up to 5 MB.
You can browse the catalogue without an account. To apply, sign in as a specialist and upload a file on this page.
Find Specialists
Отклики на ваши вакансии и соответствие по навыкам
Подходящие по заявкам
Нет активных заявок, которые совпадают с этой вакансией.
Become a partner
IT‑компании публикуют роли и проводят подбор. Вузы и онлайн-школы подключают студентов к практике и вакансиям на платформе.
Кто может стать партнёром
IT-компании
Публикуйте стажировки и junior-вакансии, проводите дни подбора и смотрите кандидатов с живой практикой — квизы, пет-проекты, мок-собеседования.
Вузы
Площадка для практики студентов и контакт с работодателями. Платформа помогает выпускникам выйти на работу.
Онлайн-школы
Канал трудоустройства выпускников, видимость для HR и совместные карьерные треки с компаниями.
Как это работает
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Заявка
Заполните форму на этой странице
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Проверка
Уточним сценарий сотрудничества в рабочие дни
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Онбординг
Откроем кабинет организации или работодателя
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Публикация
Стажировки, карточка в каталоге, дни подбора
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Результат
Первые кандидаты и трудоустройство выпускников
A practice gym for engineers targeting product-company interview loops
FAANG
Big Tech
Scale-ups
Remote-first
Возможности для партнёров
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Помощь трудоустроить выпускников
Помогаем выпускникам выйти на работу: список вакансий и стажировок плюс подготовка — квизы, мок-собеседования и практика на платформе.
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Публикация вакансий и стажировок
Размещайте роли в каталоге и находите отклики по стеку и грейду.
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Мероприятия
Дни подбора, карьерные встречи и совместные активности с вузами и школами.
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Аналитика
Просмотры, отклики и метрики карточки организации в кабинете партнёра.
Заявка на партнёрство
Кратко расскажите об организации — мы свяжемся с Вами в рабочие дни.
Частые вопросы
После заявки мы связываемся в рабочие дни, уточняем сценарий и открываем доступ к кабинету.
Площадка для практики студентов, видимость для работодателей и канал трудоустройства выпускников — условия согласуем индивидуально.
Здесь Вы подаёте заявку на партнёрство с платформой. Каталог — уже опубликованные организации.
Оставить заявку
Подключим компанию, вуз или школу к IT‑Career‑Gym и согласуем следующий шаг.
Подать заявкуPartners catalog
Вузы, IT-школы, bootcamp и HR-партнёры для найма джуниоров и стажёров
Совместные мероприятия
Ближайшие дни карьеры, хакатоны и лекции появятся здесь.
Загрузка…
Organization cabinet
Карточка партнёра, заявки и рекомендации вакансий
Find a mock interview partner
Step-by-step partner matching for a practice IT or language interview
Чтобы создать заявку на поиск партнёра, войдите в аккаунт. Описание сервиса ниже доступно без регистрации.
Как работает подбор партнёра
IT‑Career‑Gym helps you find a partner for a practice interview: pick a track (IT or languages), specialization, your grade, and the grade range you want. The system searches website and Telegram requests and notifies you in the account bell when a pair is ready.
Собеседование вы проводите сами — в удобное время и в выбранном формате. Платформа нужна для мэтча, напоминаний и истории, а не для замены живого разговора.
Подписки и история
Активные заявки живут в разделе «Мои подписки»: их можно отключить, пока партнёр не найден. Грейд на карточке не меняется — новую заявку собирают в поиске. Прошедшие моки и отзывы о партнёрах собраны в «Истории».
Такой цикл — поиск, мэтч, практика, фиксация результата — помогает готовиться к реальному интервью без лишней бюрократии и с понятным следующим шагом.
My Subscriptions
Активные заявки на поиск партнёров по собеседованиям
Чтобы видеть и управлять заявками на поиск партнёра, войдите в аккаунт. Как устроены подписки — ниже, без регистрации.
Как управлять подписками на поиск партнёра
В «Моих подписках» хранятся заявки на поиск пары для мок-собеседования: специализация, свой грейд и диапазон грейда партнёра. Подписку можно поставить на паузу или удалить — грейд на карточке не редактируется.
Новую заявку с другими грейдами собирают в разделе поиска партнёра. Каждая карточка показывает, идёт ли поиск, и можно ли повторять уже найденных людей.
Когда подписка находит партнёра
Найденные люди открываются из карточки заявки. Прошедшие моки и отзывы живут в истории собеседований. Собеседование вы проводите сами — платформа нужна для мэтча и напоминаний.
Куда писать о мэтче — почта, Telegram или оба канала — настраивается в профиле. Пока подписка активна, можно получить короткое напоминание, что заявка ещё ищет пару.
Quizzes
Test your knowledge in the chosen sub-specialization: express, deep, and thematic formats.
29,590 questions across 1,499 sets in the bank — enough for lots of practice.
Чтобы пройти квиз или открыть историю попыток, войдите в аккаунт. Описание формата ниже доступно без регистрации.
Форматы квизов на IT‑Career‑Gym
На платформе можно проверить знания по Backend, Frontend, DevOps и другим специализациям. Экспресс — 5 вопросов, глубокий — 20, тематический — 15. Число вопросов вручную — только в расширенном режиме.
Экспресс подходит для разминки перед собеседованием, глубокий — для системной оценки, тематический — чтобы закрыть конкретный пробел. Сложность подстраивается по ходу: после верного ответа следующий вопрос сложнее. Часть вопросов — свободный текст. Результаты попадают в историю попыток и влияют на рейтинг.
Откройте экспресс, глубокий, тематический квиз или историю попыток. Расширенный режим на этой странице позволяет выбрать блок и число вопросов вручную (до 50). Рейтинг снижается, если копировать вопрос или уходить со страницы.
Daily challenges
Three tasks for today. Tomorrow a different set: quizzes, matches, resume, a pet project or a referral.
Today’s progress
0%
Почему стоит проходить челленджи каждый день?
Регулярная практика — ключ к IT‑собеседованиям. Каждый день три задания: квизы разных форматов, мэтч со специалистом или вакансией, резюме, пет-проект или реферал. Прогресс считается за реальные действия на платформе.
На IT‑Career‑Gym челленджи связаны с квизами, пет-проектами, мэтчами специалистов, мэтчами вакансий, резюме и рейтингом. Набор карточек меняется каждый день.
Частые вопросы
Что такое ежедневные челленджи в IT‑Career‑Gym?
Это три задания на сегодня: пройти квиз нужного формата, найти мэтч, откликнуться на вакансию, обновить резюме или пет-проект, подняться в рейтинге или отправить рефералку. Карточки меняются каждый день, прогресс идёт с реальных действий, а не с чеклиста.
Как заработать XP и удержать стрик?
Закройте карточки дня — за каждое задание начисляется бонус XP. Стрик растёт, если вы активны каждый день. Пропуск дня сбрасывает серию. Энергия списывается только за старт обычного квиза.
Нужно ли платить за челленджи?
Нет: задания бесплатны для специалистов. Super даёт безлимит энергии на квизы, но не прячет челленджи. У работодателей челленджей нет.
IT‑Career‑Gym Super
Level up your IT career
Unlimited quizzes, PET projects, the rating, and partner plus vacancy search without Basic limits
Почему Super?
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Безлимитная практика
Квизы без потолка энергии базового тарифа — Super даёт безлимит, тренируйтесь когда удобно.
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Рейтинг и признание
Доступ к общей таблице: работодатели видят тех, кто уже прошёл практику.
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ПЭТ‑проекты
На базовом — 1 проект. Super даёт безлимит: живое портфолио, которое видят работодатели.
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Безлимитные мэтчи
Поиск партнёра для мока и вакансий без лимита 1+2 поиска.
Plans for candidates
Reviews
An absolute gem! 🔥 Saved my interview prep. Studying alone is hard; with a partner it feels like a real interview. We drilled algorithms, debated architecture, and fixed each other's mistakes. I felt much calmer walking into the employer meeting. Result: offer received! If you're tired of prepping in a vacuum — try it! 🙌
A genuinely useful tool! I quickly found a practice partner, we rehearsed typical questions and tough cases together. Prep was efficient and low-stress — and it ended with an offer! Huge thanks to the creators; the bot really helps build skills and confidence before interviews. Highly recommend! 🚀
Great bot! Helped me find a partner for IT interview prep. Studying together was far more effective, and I passed the interview and landed a job. Thank you ☺️
Готов выйти на новый уровень?
Присоединяйся к сообществу, которое уже получило офферы в Яндекс, Сбер и Ozon
AI assistant
Вопросы и разбор ответов — как на IT-собеседовании.
Чат доступен на тарифах кандидата от 499 ₽/мес. Страницу можно читать без подписки.
Текстовый мок: вопросы, разбор ответов и слабые места по вашему стеку.
Можно прикрепить файл резюме — в запрос уйдёт текст без email и Telegram.
Чем помогает ИИ‑ассистент
ИИ‑ассистент IT‑Career‑Gym — отдельная страница с чатом: Coach готовит к собеседованию, Resume Reviewer разбирает резюме под ATS, Career Path строит план обучения, Quiz Generator предлагает вопросы по слабым темам, Match Helper подсказывает партнёра для мока.
Ассистент опирается на ваш профиль, историю квизов и загруженное резюме. Ответы приходят структурированным markdown со списками и подсветкой кода. Это тренировка на платформе, а не замена живого интервью.
Как связан с квизами и мэтчами
На поиске партнёра есть тизер с переходом в режим Match Helper. В квизах кнопка «Спросить ИИ» открывает чат с темой. Разбор файла — со страницы резюме. Практику закрепите в ПЭТ‑проектах.
Доступ к чату — на тарифах кандидата от 499 ₽/мес (10 / 30 запросов в день или безлимит на год). Описание режимов на этой странице открыто всем, в том числе без регистрации.
Частые вопросы
Что умеет ИИ‑ассистент IT‑Career‑Gym?
Ассистент помогает готовиться к IT-собеседованию: генерирует вопросы и проводит текстовый мок, разбирает резюме под ATS, строит карьерный план, предлагает квизы по слабым темам и подсказывает, какого партнёра искать для мока.
Нужна ли платная подписка для ИИ‑ассистента?
Да: чат доступен на тарифах кандидата от 499 ₽/мес. На базовом тарифе страница открывается с описанием возможностей и предложением оформить план. Лимит запросов: 10 в день на месяц, 30 на квартал, безлимит на год.
Как ассистент связан с квизами и мэтчами?
Из квиза можно нажать «Спросить ИИ» — чат откроется с темой и форматом. В подборе партнёра тизер ведёт в режим Match Helper. Сгенерированные вопросы можно сразу продолжить в разделе квизов, а заявку на мэтч — подтвердить кнопкой в чате.
Безопасно ли загружать резюме в чат?
Файл обрабатывается на сервере платформы и не попадает в публичный каталог. В промпт к модели уходит текстовый фрагмент без email и Telegram. История диалогов видна только в вашем аккаунте.
На каких языках отвечает ассистент?
На языке вашего сообщения — русском или английском, как интерфейс IT‑Career‑Gym. Ответы структурированы: списки, заголовки и подсветка кода.
Interview History
Ваши прошедшие тренировочные собеседования
Profile
Ваши данные, роль и специализации
Subscription payment
Оплата картой или СБП через защищённую форму Т‑Банка
СБП доступен на форме Т‑Банка после перехода к оплате.
Оплата криптовалютой появится позже. Сейчас доступны карта и СБП через Т‑Банк.
Донат
T-банк:
tinkoff.ru/rm/…
Paypal:
paypal.me/EvgheniiShershun
Если ни один из способов не подходит — напишите нам:
Что-нибудь придумаем.
Frequently Asked Questions
Answers to the most popular questions about the IT‑Career‑Gym platform
Для кого
Переход к статье…
Если переход не произошёл автоматически, откройте материал «AI-сорсинг».
Переход к статье…
Если переход не произошёл автоматически, откройте материал «Хватит заучивать STAR».
Переход к статье…
Если переход не произошёл автоматически, откройте материал «Как ИИ меняет собеседования».
Переход к статье…
Если переход не произошёл автоматически, откройте материал «Ясность резюме».
Offer
Пользовательское соглашение
Настоящее Пользовательское соглашение регулирует отношения между Исполнителем и Пользователем при использовании сайта, личного кабинета, десктопного приложения и иных функций платформы IT‑Career‑Gym.
Используя платформу, вы соглашаетесь с условиями настоящего соглашения. Если вы не согласны с условиями, пожалуйста, прекратите использование платформы.
- Регистрация и использование аккаунта осуществляется добровольно.
- Платформа предоставляет услуги по поиску мэтчей, проведению квизов и формированию рейтинга.
- Исполнитель оставляет за собой право изменять условия соглашения с уведомлением пользователей.
Дата последнего обновления: 6 сентября 2026 г.