SEO Executive

Job Title: Accounts Executive

Experience : 2 to 6 years

Locations: Mumbai (1), Paria – Vapi (1)

Job Description:

The Accounts Executive will handle day-to-day accounting activities, including voucher entries, billing, and ledger scrutiny. 

The role involves supporting GST documentation and compliance, coordinating with vendors for invoices and account confirmations, and maintaining accurate financial records.

 The candidate will assist in month-end closing activities, reconciliations, and preparation of basic MIS reports.

 The position requires 2–7 years of accounting experience,

working knowledge of Tally/ERP and MS Excel, strong attention to detail, and the ability to coordinate effectively with internal teams and external vendors across Mumbai and Paria-Vapi locations.

We're hiring a Cloud Architect (Contract) to work with our Equity Partners who builds profitable growth by acquiring and operating enterprise software companies. Refining a proprietary operating model across 40+ acquisitions and two decades of hands-on experience, now supercharged by our patented agentic AI platform . In this role, you'll take full architectural control of our CI/CD, observability, and event streaming infrastructure, build the standards every new acquisition plugs into, and use AI-assisted automation to keep 20+ products reliable without proportionally scaling headcount.

Job title: Cloud/Platform Architect (SRE)

Type: Global Remote | Contract

What You Bring

• 8–12 years in platform engineering, DevOps, or SRE, with growing ownership over time
• Deep Terraform experience across multi-account, multi-env setups
• Real production experience with event streaming at scale
• Hands-on Grafana, Prometheus, Loki, and strong AWS depth (ECS, EKS, IAM, VPC, RDS)
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortems
• Bonus: acquisition or greenfield platform-building experience

Roles and Responsibilities

• Own everything outside core AWS infra: CI/CD, observability, event streaming, deployment, incidents
• Define the standards every future acquisition will plug into
• Keep 20+ enterprise products running at serious scale (millions–billions of requests)
• Build self-service tooling so product teams never wait on you
• Use AI/automation to kill toil — not to replace engineering judgement

Ready to build the platform that scales an entire portfolio? — let's connect.

Experience: 6+ years building and operating production ML systems that drive commercial decisions at scale. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag05ROZwgz5AaLDG/form 

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Terrabase builds decisioning infrastructure for enterprise customers: ranked recommendations, scoring pipelines, and policy-governed outputs that drive real commercial action. Our ML systems do not live in notebooks. They run multi-stage evaluation harnesses, apply structured governance rules, backtest against historical outcomes, and ship ranked outputs that customers act on daily.

This role owns the decisioning system end to end. That means the models, the eval harness, the policy layer, the production services, and the technical roadmap for where all of it goes next.

What You Will Do

Own the decisioning and ranking pipeline. Design, extend, and operate the end-to-end system: candidate generation in DuckDB, multi-stage scoring with LightGBM and AutoGluon, post-score policy application, and final ranked output delivery. You understand each layer well enough to debug latency, correctness, and coverage problems quickly, and to design the next version.

Lead the evaluation harness. Our eval pipeline runs multiple gates before any output ships: data health checks, specification validation, business rules enforcement, resolution checks, LLM-as-judge scoring, backtest against historical outcomes, and final output validation. You will own this harness, extend it as the system grows, and ensure every model or pipeline change is measurable and reproducible before it reaches a customer.

Apply policy logic with rigor. Our ML systems operate under structured governance rules that determine which offers apply to which customer segments, under what conditions. You will implement, test, and audit these rules in code, not configure them in a spreadsheet. Every exclusion must be traceable and explainable.

Engineer features that move metrics. Identify and build the behavioral signals, engagement indicators, contract features, and value-band attributes that improve model performance. Close the loop from feature hypothesis through offline evaluation to production monitoring. Own the data contracts between upstream sources and the scoring pipeline.

Build and maintain the production pipeline and service layer. The decisioning system is not a batch notebook. You will write and operate the Python pipeline and service layer that wraps model inference, handles edge cases, versions model artifacts, and connects to downstream consumers. You own CI, test coverage, reproducible training runs, monitoring, and production incidents.

Drive technical direction. Write design documents, lead code review, and set the engineering standard for the decisioning system. Help define the roadmap: what gets built, in what order, and why. Mentor contributors who work alongside you on this system.

Work forward-deployed. You will engage directly with customer stakeholders to understand business context, interpret model outputs, and translate commercial requirements into system constraints. You are accountable for customer delivery, not just model accuracy.

What We Are Looking For

• 6+ years building and operating production ML systems, not prototypes or research work
• Strong Python skills across the full ML lifecycle: data pipelines, feature engineering, model training, inference services, and monitoring
• Production experience with gradient boosting models (LightGBM, XGBoost)
• Hands-on with DuckDB or similar in-process analytical engines for large-scale data processing
• Evaluation discipline: held-out metrics, backtesting against historical data, multi-gate eval pipelines, LLM-as-judge patterns
• Experience applying business rules, policy overrides, or constraint layers on top of model outputs
• Engineering fundamentals: CI pipelines, data contracts, versioned artifacts, test coverage, incident response
• Technical leadership: design docs, code review, roadmap input, mentoring
• Comfort with forward-deployed work: you can run a meeting with a non-technical stakeholder and turn the output into a system requirement
• Comfort inheriting an existing production codebase, improving its structure, and raising reliability without rewriting everything from scratch

Bonus Points

• Experience with next-best-offer engines, customer-level targeting, or recommendation systems at scale
• Experience with AutoML frameworks (AutoGluon or similar) in a production scoring pipeline
• Thompson sampling, multi-armed bandits, or portfolio-level optimization experience
• Exposure to structured data from telecoms, financial services, or retail sectors
• Prior work owning a decisioning or ranking system as the technical lead

Life at Terrabase

We are a sharp, focused, fully remote team that ships to real enterprise customers weekly. You will own a system that drives measurable commercial outcomes, with high autonomy, generous cloud budgets, and a culture that prizes rigor over hype.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

About Newton School Technology:

Newton School of Technology is building India’s most innovative tech Institute — a place where we revolutionise tech education in India with the mission of solving the deep problem of graduate unemployability. We are creating a new-age learning ecosystem grounded in industry projects, world-class mentorship, immersive experiences, and active student communities.

NST, dedicated to bridging the employability gap, has partnered with Rishihood University, Sonipat (India’s first impact university), Ajeenkya DY Patil University, Pune, and S-VYASA, Bangalore. Together, we are revolutionizing education, empowering students, and shaping the future of technology. With a team of experienced professionals and renowned investors, we are united in our mission to solve the employability challenge and make a lasting impact on society.

This is a high-energy, execution-driven role designed for someone who thrives in fast-paced, student-centric environments.

About the Role

As a Community Intern at Newton School of Technology, you’ll be at the center of our applicants ecosystem — building engagement, nurturing conversations, and strengthening our brand presence across online channels. This role blends communication, creativity, and operational coordination, giving you hands-on experience in community building, student engagement, and online reputation management within a fast-paced, growth-oriented environment.

Key Responsibilities:

• Engage actively with students across Telegram and other community platforms.
• Drive and moderate discussions — share updates, resources, and celebrate community milestones.
• Plan and execute virtual events, Q&A sessions, contests, and peer-learning initiatives.
• Collect and analyze student feedback to measure community health and engagement.
• Collaborate with academic, tech, and marketing teams to ensure consistent communication.
• Create and manage content calendars, including newsletters, polls, and community spotlights.
• Support onboarding and orientation for new students joining the community.
• Manage brand presence across public platforms — respond to Q&A and reviews on Quora, YouTube comments, Google reviews, Reddit, and other forums.
• Identify trends, recurring feedback, and opportunities to improve comms tone and responsiveness.

Requirements

• Currently pursuing or recently completed a Bachelor’s degree in Marketing, Communications, HR, or Technology. With Experience in Content Writing/Copywriting.
• Excellent written and verbal communication skills in English.
• Organized, self-driven, and creative with strong problem-solving skills.
• Passionate about education, student engagement, and online communities.
• Comfortable using tools like Notion, Canva, Slack, Google Workspace, and social platforms.
• Prior experience in student councils, clubs, or community management is preferred.'

Skills & Attributes

• Strong interpersonal and collaboration skills.
• Empathy and a student-first mindset.
• Ownership and accountability in handling community queries and responses.
• Creativity in driving engagement and shaping brand conversations.
• Attention to detail with a proactive and adaptable approach.

Benefits

• Hands-on experience in community management and Online Reputation Management.
• Certificate of Internship Completion.
• Internship Duration: Nov’25 to Aug’26 (Extension will be based on performance at completion of 3 months.)
• Working days: 6 days a week (rotational shift based on roasters).

We’re looking for a Java Backend Developer with strong experience in Spring Boot, AWS, and Microservices to join our growing team. If you're passionate about scalable backend systems and love working in a fast-paced environment, we want to hear from you!

What You’ll Bring:

• 4+ years of backend development experience
• Strong hands-on expertise in Core Java and Spring Boot
• Experience designing and developing Microservices architecture
• Solid working knowledge of AWS services
• Familiarity with RESTful APIs, version control (Git), and CI/CD
• Strong problem-solving and debugging skills
• Ability to work independently and in a collaborative team environment
• Immediate joiners are highly preferred

Responsibilities:-

Ø  Research, design, develop, and test blockchain technologies.

Ø  Brainstorm and help evaluate applications for new tools and technologies as they continually evolve.

Ø  Maintain and extend current client- and server-side applications responsible for integration and business logic.

Ø  Be involved in the global blockchain community—work on implementing and integrating the latest improvement proposals.

Ø  Document new solutions as well as maintaining that of existing ones.

Skills:-

Ø  Strong  software development background.

Ø  Experience working with large codebases.

Ø  Experience working with open-source projects.

Ø  Proficiency in one of the following languages: C++, Java, JavaScript ( Depending on the project ).

Ø  Strong  knowledge of common algorithms and data structures.

Ø  Familiarity with basic  cryptography.

Ø  Familiarity with P2P networks.

Ø  Strong knowledge of bitcoin-like blockchains.

Ø  Strong knowledge of concurrency and writing efficient and safe multithreaded code.

Ø  Strong knowledge of STL, C++11 ( In the case of a blockchain-based on C++ ).

Ø  Proficiency in the Qt Widgets module ( Applies to projects where a GUI wallet application is needed ).

Required Technical Skills: 

• Java (highly capable)
• SQL (highly capable)
• Strong knowledge of software best practices, build processes, IDEs, database tools (e.g. SQL Developer, SQL Management Studio)
• Strong knowledge of source code control systems (GIT)
• Confident with Windows, Linux, Unix operating systems including command line
• Working knowledge of JIRA

Beneficial Technical Skills: 

• .Net
• C 
• Javascript 
• Experience in test management and test execution
• Experience of Agile development methods

Additional Skills and Behaviour Required 

• Experience of full software development lifecycle
• Considers competing solutions and evaluates options to create the best outcome in all aspects of the role.
• Willingness to takes ownership of whole project and engineers assigned.
• Confident to make suggestions and recommendations for improvements.
• Excellent written and verbal communication skills and ability to build good rapport
• Fluency in English, both written and oral
• Collaborates with others to achieve objectives and ensure information flow
• Seeks assistance and feedback as appropriate 

Education 

• Bachelor's degree (or equivalent) in Computer Science or Engineering or other relevant discipline (MCA, MSc in Computer Science etc.)