Hiring freshers
Wohlig
IT Services and IT Consulting
1 fresher job
Founded 2013
51-200 employees
Mumbai, Maharashtra, India
About Wohlig
Company overview for fresher applicants
Wohlig is a Mumbai-headquartered IT services and technology consulting company founded in 2013. It focuses on Google Cloud, data analytics, generative AI, DevOps, cybersecurity and digital transformation. Wohlig lists offices in Mumbai, Bangalore and London and identifies itself as a Google Cloud Premium Partner with Data Analytics and Infrastructure specialisations and 40+ active GCP certifications across its team. Public hiring activity includes fresher software development and experienced backend, DevOps, data, AI and architecture roles.
Wohlig is a technology services and consulting company that helps organizations modernize applications, data platforms and cloud infrastructure. Public company information identifies Wohlig as a privately held IT services and IT consulting business headquartered in Mumbai and founded in 2013. Its current technology por...
Wohlig is a technology services and consulting company that helps organizations modernize applications, data platforms and cloud infrastructure. Public company information identifies Wohlig as a privately held IT services and IT consulting business headquartered in Mumbai and founded in 2013. Its current technology portfolio includes data analytics and AI applications, generative AI, cloud solutions and DevOps, cybersecurity and AI security, AI video, and Gemini Enterprise solutions.
For software job seekers, Wohlig offers exposure to engineering problems that span application development, cloud migration, Kubernetes, CI/CD, site reliability engineering, data engineering, analytics, generative AI and enterprise automation. Recent public hiring activity has included software development, backend engineering, DevOps, solution architecture, data and AI-oriented roles, as well as UI/UX positions.
Wohlig describes itself as a Google Cloud Premium Partner with specialisations in Data Analytics and Infrastructure and more than 40 active Google Cloud certifications across its team. Its public case studies show work involving organizations such as Meesho, Dr. Reddy's Laboratories, Chingari, Eros Now, KreditBee, Mahindra & Mahindra and government organizations. These engagements provide a practical view of the kinds of cloud, AI, data and software engineering challenges that teams may encounter.
The company currently lists offices in Mumbai, Bangalore and London. Its public hiring posts also show opportunities in Bangalore and Mumbai, including fresher software development roles and experienced backend, DevOps and architecture positions. This makes Wohlig relevant to both early-career candidates building practical engineering experience and experienced professionals specializing in cloud-native systems, AI, data or platform engineering.
For software job seekers, Wohlig offers exposure to engineering problems that span application development, cloud migration, Kubernetes, CI/CD, site reliability engineering, data engineering, analytics, generative AI and enterprise automation. Recent public hiring activity has included software development, backend engineering, DevOps, solution architecture, data and AI-oriented roles, as well as UI/UX positions.
Wohlig describes itself as a Google Cloud Premium Partner with specialisations in Data Analytics and Infrastructure and more than 40 active Google Cloud certifications across its team. Its public case studies show work involving organizations such as Meesho, Dr. Reddy's Laboratories, Chingari, Eros Now, KreditBee, Mahindra & Mahindra and government organizations. These engagements provide a practical view of the kinds of cloud, AI, data and software engineering challenges that teams may encounter.
The company currently lists offices in Mumbai, Bangalore and London. Its public hiring posts also show opportunities in Bangalore and Mumbai, including fresher software development roles and experienced backend, DevOps and architecture positions. This makes Wohlig relevant to both early-career candidates building practical engineering experience and experienced professionals specializing in cloud-native systems, AI, data or platform engineering.
Company Type
product
Industry
IT Services and IT Consulting
Founded
2013
Company Size
51-200 employees
Work Mode
Role-dependent; public hiring posts show onsite opportunities in Bangalore and Mumbai. Confirm the current work arrangement in the specific job description.
Why Work at Wohlig?
Exposure to cloud and modern software engineering projects
Hands-on work with Google Cloud technologies
Opportunities across AI and generative AI projects
Exposure to DevOps and cloud-native engineering
Learning through practical client projects
Wohlig can be relevant for software professionals who want hands-on exposure to cloud, AI, DevOps, data and modern application engineering. The company works across technology transformation projects rather than limiting engineering work to a single product category, which can expose team members to different industries, architectures and delivery environments.
A major technology differentiator is Wohlig's Google Cloud focus. The company identifies itself as a Google Cloud Premium Partner with Data Analytics and Infrastructure specialisations and more than 40 active GCP certifications across its team. For candidates interested in cloud engineering, data platforms, DevOps, Kubernetes, analytics or AI, this creates a clear connection between day-to-day engineering work and widely used enterprise technologies.
Public hiring activity also indicates opportunities across experience levels. Wohlig has advertised fresher Software Development Engineer roles, while other public openings have included backend engineers, senior DevOps engineers, solution architects, data analysts and AI-focused engineers. Candidates can therefore look for roles that match their current skill level and then build toward more specialised engineering responsibilities.
The company's public materials emphasize growth, innovation, collaboration and data-driven problem solving. Job seekers who prefer practical project work, modern cloud platforms and cross-functional technology challenges may find this environment relevant. As with any employer, candidates should review the specific job description, employment terms, work location and current benefits for the role they are considering rather than assuming that every opportunity has the same conditions.
Fresher Openings
1 live roles
Interview Experience
Hiring Process
Stage 1: Application and Resume Review. Candidates submit an application through the current hiring channel or recruiter. The recruiting team reviews the resume against the role's skills, experience and location requirements.
Stage 2: Recruiter or Initial Discussion. Shortlisted candidates may have an introductory discussion covering experience, communication, availability, location, compensation expectations and interest in the role.
Stage 3: Technical Assessment or Technical Interview. Engineering candidates may be evaluated on programming fundamentals, data structures, APIs, databases, cloud, DevOps, system design, AI or other skills relevant to the vacancy. Freshers may be assessed more heavily on fundamentals and projects.
Stage 4: Role-Specific Interview. Candidates may meet senior engineers, architects, delivery leaders or functional stakeholders to discuss project experience, problem solving and practical implementation choices.
Stage 5: Final Discussion. The final stage may cover team fit, responsibilities, joining timeline and employment details. The exact sequence can vary by role.
Stage 6: Offer and Joining. Selected candidates receive the applicable employment terms and complete the required joining and verification steps. Applicants should confirm the current process directly with the recruiter because interview stages can change by position.
Stage 2: Recruiter or Initial Discussion. Shortlisted candidates may have an introductory discussion covering experience, communication, availability, location, compensation expectations and interest in the role.
Stage 3: Technical Assessment or Technical Interview. Engineering candidates may be evaluated on programming fundamentals, data structures, APIs, databases, cloud, DevOps, system design, AI or other skills relevant to the vacancy. Freshers may be assessed more heavily on fundamentals and projects.
Stage 4: Role-Specific Interview. Candidates may meet senior engineers, architects, delivery leaders or functional stakeholders to discuss project experience, problem solving and practical implementation choices.
Stage 5: Final Discussion. The final stage may cover team fit, responsibilities, joining timeline and employment details. The exact sequence can vary by role.
Stage 6: Offer and Joining. Selected candidates receive the applicable employment terms and complete the required joining and verification steps. Applicants should confirm the current process directly with the recruiter because interview stages can change by position.
FAQ
Wohlig is an IT services and technology consulting company focused on cloud, data, DevOps, cybersecurity, generative AI and digital transformation. The company is headquartered in Mumbai and was founded in 2013. Its current website identifies Wohlig as a Google Cloud Premium Partner with Data Analytics and Infrastructure specialisations. For job seekers, the company is relevant to software engineering, cloud, DevOps, data, AI, security, architecture and related technology careers.
Public company information identifies Wohlig as founded in 2013. Current company materials describe a technology services business that has expanded into cloud, data, DevOps, cybersecurity and generative AI. Some Wohlig Insights material refers specifically to Wohlig Transformations Pvt. Ltd. as founded in 2015, so candidates should distinguish the broader Wohlig brand history from the legal entity information used in a particular source. For SoftoJobs, 2013 is used because it is the founding year shown on the current public company profile.
Wohlig is headquartered in Mumbai, Maharashtra, India, according to its public company profile. The company website currently lists offices in Mumbai, Bangalore and London. Public LinkedIn location information also shows a Dubai location. Office addresses and operating locations can change over time, so candidates should check the current job posting and confirm the exact reporting location with the recruiter before accepting an offer.
Wohlig's public technology material covers Google Cloud, Kubernetes, DevOps, CI/CD, data analytics, generative AI, cybersecurity and application modernization. Public project material references technologies and services such as Vertex AI, Gemini, Agent Development Kit, BigQuery, Cloud Run, Cloud Storage, Cloud IAM, Python, FastAPI, React, Node.js, Docker, Istio, Argo CD, Prometheus and Grafana. The exact technology stack depends on the client project and job role.
Yes, public hiring activity has included fresher Software Development Engineer opportunities. One recent public post described a Bangalore onsite role for candidates with 0–1 years of experience and highlighted data structures and algorithms, object-oriented programming and programming languages such as JavaScript, Java, Python or C++. Project or internship exposure was listed as a bonus. Freshers should still check the current vacancy because eligibility, location and required skills can change between openings.
Public hiring activity has included Software Development Engineer, Senior Backend Engineer, Senior DevOps Engineer, Solution Architect, Data Analyst, UI/UX Designer and cloud sales roles. Technology-focused openings have covered backend development, GenAI, cloud migration, DevOps, architecture and data. Availability changes frequently, so job seekers should use the current Wohlig hiring channel or relevant job listing for open positions, experience requirements, location, work mode and application instructions.
The exact interview process varies by role. A technology candidate may go through resume screening, a recruiter discussion, technical evaluation, role-specific technical or managerial interviews and a final discussion before an offer. Freshers should prepare programming, DSA, OOP, SQL, APIs and project explanations. Experienced candidates should prepare system design, cloud architecture, debugging, production incidents and role-specific technology questions. Candidates should confirm the current sequence with the recruiter because hiring stages can change.
Freshers targeting software roles should build strong programming fundamentals, object-oriented programming, data structures and algorithms, SQL, REST APIs and Git. A few complete projects are more useful than a long list of unfinished tutorials. Candidates interested in cloud and DevOps can add Linux, Docker, Kubernetes and Google Cloud basics. AI-focused candidates can learn Python, machine learning fundamentals, LLM concepts, embeddings and RAG. The final preparation should be aligned with the exact job description.
Yes. Public hiring posts have included backend engineering roles, including positions focused on Node.js, Python, REST APIs, microservices, PostgreSQL, Kafka or RabbitMQ and scalable systems. Some recent roles also included generative AI technologies such as LLMs, embeddings, LangChain and RAG. Backend candidates should be prepared to discuss API design, databases, distributed systems, performance, testing, observability and deployment, along with the specific technologies listed in the vacancy.
Yes. Wohlig has publicly advertised Senior DevOps Engineer positions and describes cloud and DevOps as a core service area. Its technical material references Kubernetes, CI/CD, SRE, GitOps, Argo CD, FluxCD, Tekton, Prometheus, Grafana and cloud migration. Candidates should understand containerization, networking, deployment automation, infrastructure management, monitoring, incident response and security. Experience with Google Cloud is especially relevant to the company's current positioning, while AWS and Azure knowledge can also matter for migration projects.
Google Cloud is especially relevant because Wohlig identifies itself as a Google Cloud Premium Partner with Data Analytics and Infrastructure specialisations. Its public cloud material also discusses migration from AWS and Azure to Google Cloud and running Kubernetes across GKE, EKS and AKS. Candidates should therefore understand cloud fundamentals even if they specialize in one platform. The required cloud skills will depend on the client project and the responsibilities described in the vacancy.
Wohlig currently lists offices in Mumbai, Bangalore and London on its website. Public hiring posts have shown onsite opportunities in Bangalore and Mumbai. LinkedIn company information also lists Mumbai, London and Dubai locations. Because job locations can change and some roles may have different work arrangements, applicants should rely on the location stated in the individual vacancy. Candidates should confirm onsite, hybrid or remote expectations with the recruiter before progressing to the final stages.
Wohlig publicly describes its culture around growth, innovation, collaboration and data-driven problem solving. Its work spans cloud, AI, DevOps, data and digital transformation, so project teams may involve multiple engineering disciplines. Public employee-review sources contain both positive and critical individual experiences, covering learning, collaboration, workload, communication and career progression. Those reviews should not be treated as a complete representation of the company. Candidates can use interviews to ask directly about management, workload, growth and team practices.
Yes. Wohlig's current website identifies it as a Google Cloud Premium Partner and states that it has specialisations in Data Analytics and Infrastructure. The site also states that more than 40 active Google Cloud certifications exist across the team. Its cloud and DevOps material describes Google Cloud as a primary platform and references services including GKE, BigQuery, Cloud Run, Cloud Storage, Cloud IAM and other Google Cloud technologies.
Start with the technologies named in the vacancy rather than trying to memorize every tool associated with the company. For software roles, review programming, DSA, OOP, APIs, SQL, debugging and project architecture. For DevOps, add Linux, containers, Kubernetes, CI/CD, networking, observability and cloud. For AI, prepare Python, model concepts, RAG, embeddings, evaluation and deployment. Be ready to explain your own projects clearly, including trade-offs, failures, testing and measurable outcomes.
Wohlig's current public website is the primary company source for information about the business and contact details. The company also publishes hiring activity through its LinkedIn presence, and recent hiring posts have directed applicants to Wohlig's recruitment system or provided a careers email address for selected roles. Because recruitment links can change, job seekers should verify that an opening is current and confirm the role, location, experience requirements and application method before submitting personal information.
A software engineer can develop toward backend engineering, cloud engineering, DevOps, data engineering, AI engineering, platform engineering, solution architecture or technical leadership depending on skills and project opportunities. Wohlig's public work spans application modernization, cloud migration, Kubernetes, analytics, generative AI and enterprise automation. Engineers can strengthen their career path by developing production ownership, system design, cloud expertise, communication and client problem-solving skills while building deeper specialization in one technical area.
Public sources do not provide a single authoritative, current list of employee benefits that applies to every Wohlig role. Benefits can vary by employment type, seniority and location. Job seekers should therefore confirm salary, leave, insurance, allowances, learning support, work arrangements and other benefits directly with the recruiter or in the written offer. SoftoJobs lists technology and career-related advantages separately, but these should not be interpreted as guaranteed contractual benefits unless the specific vacancy states them.
Company Highlights
Global Presence
5+ locations
Technology Stack
Google Cloud Platform, Vertex AI, Gemini, Google Agent Development Kit & more
Work Mode
Role-dependent; public hiring posts show onsite opportunities in Bangalore and Mumbai. Confirm the current work arrangement in the specific job description.
Hiring Trends
Actively hiring freshers
Team Size
51-200 employees
Benefits & Work Culture
Wohlig presents its work culture around innovation, collaboration, continuous learning and practical technology problem solving. Its public company material describes teams working on cloud, DevOps, generative AI, business intelligence and other cloud-native technologies. The company also highlights growth and encourages employees to work with modern tools and technologies while solving complex client problems. The nature of Wohlig's consulting and transformation work means engineers can work across different technical environments and business requirements. Public case studies show projects involving cloud migration, Kubernetes, AI agents, data platforms, document intelligence, analytics and enterprise automation. This type of project portfolio can require close collaboration among developers, DevOps engineers, data specialists, architects, product stakeholders and client teams. For candidates, the culture is best understood through the specific role and team. Public employee-review sources contain both positive and critical experiences, including comments about learning opportunities, supportive colleagues, workload, communication and career progression. These are individual opinions rather than a complete description of the company. Applicants should use interviews and direct discussions with recruiters or hiring managers to clarify expectations around working hours, growth paths, management style, remote or onsite work and project allocation. Overall, the publicly stated culture emphasizes learning, innovation, collaboration and delivery. Candidates who enjoy solving practical engineering problems and learning across cloud, data, AI and DevOps technologies may find that orientation relevant to their career goals.
- Exposure to cloud and modern software engineering projects
- Hands-on work with Google Cloud technologies
- Opportunities across AI and generative AI projects
- Exposure to DevOps and cloud-native engineering
- Learning through practical client projects
- Cross-functional collaboration with engineering teams
- Exposure to data analytics and business intelligence
- Experience with Kubernetes and container platforms
- Opportunities to work on cloud migration projects
- Exposure to automation and CI/CD practices
- Potential to work with enterprise technology environments
- Opportunities for freshers in selected roles
- Opportunities for experienced technology professionals
- Exposure to modern AI engineering patterns
- Professional growth through technology specialization
- Client-facing problem-solving experience
More About Wohlig
Wohlig is a technology services and consulting company that helps organizations modernize applications, data platforms and cloud infrastructure. Public company information identifies Wohlig as a privately held IT services and IT consulting business headquartered in Mumbai and founded in 2013. Its current technology portfolio includes data analytics and AI applications, generative AI, cloud solutions and DevOps, cybersecurity and AI security, AI video, and Gemini Enterprise solutions.
For software job seekers, Wohlig offers exposure to engineering problems that span application development, cloud migration, Kubernetes, CI/CD, site reliability engineering, data engineering, analytics, generative AI and enterprise automation. Recent public hiring activity has included software development, backend engineering, DevOps, solution architecture, data and AI-oriented roles, as well as UI/UX positions.
Wohlig describes itself as a Google Cloud Premium Partner with specialisations in Data Analytics and Infrastructure and more than 40 active Google Cloud certifications across its team. Its public case studies show work involving organizations such as Meesho, Dr. Reddy's Laboratories, Chingari, Eros Now, KreditBee, Mahindra & Mahindra and government organizations. These engagements provide a practical view of the kinds of cloud, AI, data and software engineering challenges that teams may encounter.
The company currently lists offices in Mumbai, Bangalore and London. Its public hiring posts also show opportunities in Bangalore and Mumbai, including fresher software development roles and experienced backend, DevOps and architecture positions. This makes Wohlig relevant to both early-career candidates building practical engineering experience and experienced professionals specializing in cloud-native systems, AI, data or platform engineering.
For software job seekers, Wohlig offers exposure to engineering problems that span application development, cloud migration, Kubernetes, CI/CD, site reliability engineering, data engineering, analytics, generative AI and enterprise automation. Recent public hiring activity has included software development, backend engineering, DevOps, solution architecture, data and AI-oriented roles, as well as UI/UX positions.
Wohlig describes itself as a Google Cloud Premium Partner with specialisations in Data Analytics and Infrastructure and more than 40 active Google Cloud certifications across its team. Its public case studies show work involving organizations such as Meesho, Dr. Reddy's Laboratories, Chingari, Eros Now, KreditBee, Mahindra & Mahindra and government organizations. These engagements provide a practical view of the kinds of cloud, AI, data and software engineering challenges that teams may encounter.
The company currently lists offices in Mumbai, Bangalore and London. Its public hiring posts also show opportunities in Bangalore and Mumbai, including fresher software development roles and experienced backend, DevOps and architecture positions. This makes Wohlig relevant to both early-career candidates building practical engineering experience and experienced professionals specializing in cloud-native systems, AI, data or platform engineering.
Awards
- Google Cloud Premium Partner status
- Google Cloud Data Analytics specialisation
- Google Cloud Infrastructure specialisation
- Google Cloud DevOps specialisation displayed on the company website
- 40+ active Google Cloud certifications across the team
- 10+ AI transformations publicly documented by the company
- 2 state governments with AI solutions publicly referenced by the company
- Google Cloud Marketplace launch of PocketStudio publicly announced by Wohlig
Certifications
- 40+ active Google Cloud certifications across the team
- Google Cloud Data Analytics specialisation
- Google Cloud Infrastructure specialisation
- Google Cloud DevOps specialisation
- Google Cloud technology certification expertise across cloud engineering
- Google Cloud certification coverage supporting data and analytics work
- Google Cloud certification coverage supporting infrastructure work
- Google Cloud certification coverage supporting modern cloud delivery
Wohlig Careers and Jobs
Wohlig is an IT services and technology consulting company headquartered in Mumbai, India. Founded in 2013, the company works across cloud, data, DevOps, cybersecurity, generative AI, business intelligence and digital transformation. Wohlig's current public profile identifies it as a Google Cloud Premium Partner with Data Analytics and Infrastructure specialisations and more than 40 active Google Cloud certifications across its team.
For software job seekers, Wohlig careers can be relevant to candidates interested in cloud engineering, backend development, DevOps, data engineering, AI, analytics, cybersecurity, platform engineering and solution architecture. The company's public hiring activity has included roles for freshers as well as experienced professionals. Recent examples include a fresher Software Development Engineer position in Bangalore, backend engineering roles using Node.js and Python, senior DevOps positions, solution architecture, data analysis and UI/UX opportunities.
Technology and Engineering Opportunities
Wohlig's technology work covers several areas. Cloud and DevOps projects include Google Cloud, Kubernetes, CI/CD, site reliability engineering, GitOps, infrastructure automation, observability and cloud migration. Public technical material references GKE, EKS, AKS, Istio, Argo CD, FluxCD, Tekton, Prometheus and Grafana. Engineers may also encounter AWS and Microsoft Azure when supporting migration or multi-cloud projects.
The AI portfolio includes generative AI applications, AI agents, automation, retrieval-augmented generation and enterprise copilots. Public case studies reference Vertex AI, Gemini models, Agent Development Kit, Google Cloud Agent Engine, Python, FastAPI, React, BigQuery, Cloud Run, Cloud Storage, Cloud IAM and other Google Cloud services. Wohlig has also published work involving document intelligence, multilingual search, recruitment intelligence, automotive benchmarking and healthcare-related AI applications.
Freshers at Wohlig
Freshers can build a stronger profile by learning one programming language well, understanding object-oriented programming, practicing data structures and algorithms, and completing practical projects. Knowledge of Git, REST APIs, SQL and basic cloud concepts can add value. Wohlig's public hiring activity has shown fresher software development opportunities in Bangalore with emphasis on programming fundamentals and project or internship exposure. Because vacancies change, freshers should check current job descriptions for exact eligibility and application instructions.
Experienced Professionals
Experienced engineers can explore roles in backend development, DevOps, cloud architecture, data, AI and technical leadership. Candidates should show production experience rather than only listing tools. A strong resume can explain the systems built, scale handled, reliability improvements, migration outcomes, automation delivered and business impact. For senior positions, system design, architecture decisions, mentoring and client communication can be important.
Wohlig Work Culture
Wohlig publicly describes its culture around growth, innovation, collaboration and data-driven problem solving. Its project portfolio can involve multiple teams and technologies, making communication and practical problem solving important. Employee-review platforms contain mixed individual experiences, so candidates should use interviews to clarify expectations about workload, career progression, management, work hours and project allocation.
Benefits and Career Growth
Specific benefits vary by role and employment terms. Candidates should confirm salary, leave, insurance, learning support, working arrangements and other benefits with the recruiter rather than relying on generic company assumptions. Career growth can be strengthened through deeper specialization in cloud, DevOps, data, AI, security or software architecture, combined with stronger ownership of production systems and client-facing delivery.
Interview Process
The exact Wohlig interview process can vary by vacancy. A typical technology hiring flow may include resume screening, an introductory recruiter discussion, technical evaluation, role-specific interviews and a final discussion before an offer. Freshers should prepare programming fundamentals, DSA, OOP, SQL, APIs and project explanations. Experienced candidates should prepare system design, troubleshooting, architecture, cloud and scenario-based discussions aligned with the job description.
Wohlig Offices
Wohlig currently lists offices in Mumbai, Bangalore and London. Public LinkedIn information also identifies Mumbai as headquarters and lists locations in Mumbai, London and Dubai. Because office footprints and registered addresses can change, applicants should confirm the exact location in the vacancy and with the recruiting team.
How to Prepare for Wohlig Jobs
Start by selecting a target role rather than applying with a generic resume. Match your strongest skills to the job description. Developers should highlight languages, frameworks, APIs, databases and deployed projects. DevOps candidates should show cloud, Kubernetes, CI/CD, IaC and observability experience. AI candidates should describe models, data pipelines, RAG, evaluation and deployment. Cloud candidates should explain migrations, architecture and reliability.
For every project, explain the problem, your responsibility, technology choices, challenges and measurable outcome. Keep your resume clear and factual. During the interview, be ready to explain design decisions and trade-offs rather than only naming tools.
Wohlig can be of interest to job seekers who want exposure to cloud-native engineering, data, AI and DevOps. The strongest applications are likely to be those that combine solid fundamentals with practical project evidence and a clear connection to the requirements of the specific vacancy.
