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Need candidates from Growing startups or Product based companies only
1. 6+ years experience in backend engineering
2. Minimum 2+ years hands-on experience with:
TypeScript
Express.js / Nest.js
3. Strong experience with MongoDB (or MySQL / PostgreSQL / DynamoDB)
4. Strong understanding of system design & scalable architecture
5. Hands-on experience in:
Event-driven architecture / Domain-driven design
MVC / Microservices
6. Strong in automated testing (especially integration tests)
7. Experience with CI/CD pipelines (GitHub Actions or similar)
8. Experience managing production systems
9. Solid understanding of performance, reliability, observability
10. Cloud experience (AWS preferred; GCP/Azure acceptable)
11. Strong coding standards — Clean Code, code reviews, refactoring
Exp. - must be 8-12 yrs
Location - Bangalore/Mumbai
• Experience in Core Java 5.0 and above, CXF, Spring.
• Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good Experience into Microservices , Data structures , Oops , Algorithms, multithreading etc
• Good development experience with RDBMS, preferably Sybase database.
• Good knowledge of multi-threading and high-volume server-side development.
• Experience in sales and trading platforms in investment banking/capital markets.
• Basic working knowledge of Unix/Linux.
• Experience into High /Low level designing.
• Excellent problem solving and coding skills in Java.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.
About Digit88
Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner!
We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners.
With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best.
The Vision: To be the most trusted technology partner to innovative software product companies world-wide
The Opportunity:
As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the
As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.
As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
What You’ll Do
- Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
- Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
- Lead design of experiments and hypothesis tests related to machine learning product features development.
- Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
- Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
- Monitor and analyze machine learning model performance and data accuracy.
- Mentor junior staff members.
- Stay current with best practices in data science, machine learning and AI.
Who You Are
- 3-5 years of experience building and deploying machine learning models
- Master’s or PHD in statistics, mathematics, computer science or another quantitative field
- Strong problem solving skills with emphasis on product development.
- Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
- Experience with SQL and relational databases for data extraction and manipulation.
- Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques
- Passionate about being up-to-date with the latest developments in Machine Learning
- Strong organizational, time management, and communication skills
- High degree of accountability
- Utility, Infrastructure or Energy related field experience is a plus
Benefits/Culture @ Digit88:
- Comprehensive Insurance (Life, Health, Accident)
- Flexible Work Model
- Accelerated learning & non-linear growth
- Flat organisation structure driven by ownership and accountability.
- Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world.
- Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies
- Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more.
You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges.
This is the right time to join us and partner in our growth!
We are looking for a detail-oriented technical project manager to oversee all project operations from inception to execution. A Technical Project Manager is responsible for providing project planning and management for established initiatives within a company. They ensure that projects are completed to specification, within an established time frame and budget. A Technical Project Manager is the lead subject matter expert within the company regarding technology concerns. Additionally, they will hire and train additional support member in a
business's tech department.
Roles & Responsibilities:
• Meet with clients to take detailed ordering briefs and clarify specific requirements of each project.
• Assist in the definition of project scope and objectives, involving all relevant internal stakeholders and
ensuring technical feasibility.
• Develop a project plan for each client, detailing the tasks that need to be completed for the timely installation
of customized software systems.
• Analyze, plan, and develop requirements and standards in reference to scheduled projects.
• Coordinating with cross-discipline team members to make sure that all parties are on track with project
requirements, deadlines, and schedules.
• Delegate project tasks based on junior staff members' individual strengths, skill sets, and experience levels.
Preparing status reports by gathering, analyzing, and summarizing relevant information.
• Facilitating change requests to ensure that all parties are informed of the impacts on schedule and budget.
• Obtaining customer acceptance of project deliverables.
• Creating a specialized document for each client, detailing all customizations made.
• Conducting post-project evaluation and identifying successful and unsuccessful project elements.
Who You’ll Need To Be:
• Bachelor’s degree in computer science, engineering, computer information science, information technology,
or a related field with Master’s degree in management.
• Proven working experience in project management.
• Excellent client-facing and internal communication skills.
• Excellent written and verbal communication skills.
• Sound technical knowledge.
• Basic SQL Knowledge.
• Basic Database Understanding.
• The ability to multitask effectively.
• The ability to work independently and as part of a team.
• Strong analytical and problem-solving skills.
• Excellent organizational and time management skills.
• Fintech domain knowledge is an added advantage.
Computer Operator duties and responsibilities
- Identifying and correcting file and system errors.
- Performing data processing operations according to a business production schedule.
- Performing backup procedures to reduce the risk of data loss.
- Maintaining computer equipment and inventory and organizing repairs as needed.
Our client is a disruptive performance marketing agency with a data-driven approach adding impetus to its client's growth. The agency has developed two proprietary tools that enables them to execute large scale marketing campaigns. Automated media buying, centralized data tracking, business intelligence reports and personalized ads are the major services offered to the clients.
- Understanding client’s business objectives and Digital Marketing strategy.
- Strategizing client’s marketing brief & taking decisions for the team to deliver on.
- Creating customized & impactful presentations to showcase performance impact.
- Managing a team of digital marketing strategists and business operations team to drive multiple programs to completion.
- Being on top of industry updates from technology, competition & functionality perspective.
- Managing & prioritizing prospects pipeline – in line with monthly/ quarterly/ yearly goals.
- Helping company grow through performance marketing initiatives for its own core business.
- Working closely with business development & senior analyst teams to provide strategic inputs.
- Leading, mentoring and guiding the account managers in their daily efforts against all client digital campaign work.
- Negotiating contract including renew, upselling and be key contact for any new work discussion.
- Managing the workflow process by prioritizing projects and resources and by working across accounts to ensure proper alignment of resources.
What you need to have:
- 3 plus years of demonstrated track record of developing senior level client relationships.
- Very strong understanding of Digital Analytics.
- Hands on experience and deep expertise in Google Analytics, Google Adwords and Facebook advertising.
- Strong relationship management skills.
- Ability to command respect & drive meetings with CXO level members.
- Superb communication and presentation skills as well as a proven ability to develop well positioned and thoughtful documents and presentations.
- Thorough knowledge of the principles of advertising, marketing & media with thought leadership around the dynamics of the digital and interactive space, specifically Social, Digital Media, and Search.
- Ability to use alternative analytical approaches to solve digital/ interactive marketing problems.
- Above 80% in class 10th & 12th Maths score.
- BE/ BTech - Should be from Tier 1/Tier 2 college.

Position: Software Development Engineer, NodeJs
Experience: 3-7 Years
Responsibilities:
Work with product team / business / architects to understand the requirement
and develop and maintain back end application logic
Work with front end developers to ensure seamless integration with the back
end logic
Design and optimize application for high performance and high availability
Develop Secure, testable and scalable application
Experience Required:
Engineering Graduate with 3 to 7 years of experience in software development.
Strong proficiency with JavaScript and ES6 or ECMA 2015 on Node.js platform.
Knowledge of frameworks such as Express, KOA is desirable.
Knowledge and understanding of async non-blocking architecture
Knowledge of creating REST-ful APIs.
Knowledge of Data Structures and Algorithms, Node Global variables and In built libraries.
Experience in building high-volume transactional customer facing systems desirable
Understanding the nature of asynchronous programming and its quirks and workarounds
Knowledge of packages BABEL, Webpack
Basic understanding of front-end technologies, such as HTML5, and CSS3
Writing reusable, testable, and efficient code







