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Open nowPosted 112 days ago

Staff Engineer - Python & Django

Ottimate1 open role

Where
Bangalore
Work mode
Remote
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Your applicationOpen nowStaff Engineer - Python & DjangoOttimate · Bangalore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Ottimate's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 112 days ago

The posting

About Ottimate:

Ottimate helps fast-growing businesses automate Accounts Payable (AP) on their terms. We simplify everything from invoice management to payments for both recurring and one-off expenses with a cloud-first approach. Ottimate's AI-native AP Automation and VendorPay Network helps businesses pay and get paid faster.

At Ottimate, passion generates excitement for what we do and how we do it. With passion at the heart of everything we do, we nurture ideas, inspire excellence, and find creative ways to eliminate obstacles for cultivating growth. The positive attitude with which we assist one another develops open, honest, and genuine connections. Above all, we celebrate and embrace our differences. We invest in each other because we win or lose as a team.

Our values are at the center of our company and culture. At Ottimate, we value: Growth, Customer Focus, Innovation, Accountability, and Communication.

The Role:

We are seeking a highly experienced Staff Engineer/Architect to join our Reporting team. As a senior individual contributor, you will play a critical role in expanding what our reporting platform can do, enabling the team to build more reports, over more data, faster. You will set the technical roadmap, prioritize tech debt, drive technical design discussions and decisions, and evaluate our most pressing issues to systematically reduce their recurrence.

You will:

Set the technical roadmap for the Reporting team, balancing new reporting capabilities with prioritized tech debt.

Architect and own the systems that power report generation, data ingestion, and query performance, working primarily in Python, Django, and ClickHouse.

Drive technical design discussions and decisions, working with engineers and stakeholders to land on the right architecture and trade-offs.

Evaluate the team's most pressing production and quality issues, diagnose root causes, and drive down their recurrence.

Improve our data pipeline and reporting architecture so the team can build more reports, over more data, faster.

Maintain our admin portal and reports portal, and build new report dashboards, working confidently on the frontend when needed.

Collaborate with product managers, customers, engineers, and other stakeholders to translate reporting needs into technical solutions.

Mentor senior engineers and help raise the technical bar across the team.

You have/are:

10+ years of professional software engineering experience, with demonstrated impact at a staff/architect level.

Deep expertise in Clickhouse, Python, and Django.

Experience designing and scaling data-intensive systems (reporting, analytics, or BI platforms), including data pipelines, query performance, and large dataset handling.

Proven track record leading technical architecture decisions and driving technical design discussions across teams.

Experience in diagnosing systemic production issues and building durable fixes that reduce recurrence, not just patch symptoms.

Comfortable working across the stack, including frontend changes to admin and reporting portals.

You think critically about your work and ask questions to improve the product, not only its technical implementation but also how well it serves users' needs.

Strong communication skills and are able to explain complex technical topics to the entire team in a clear and concise way. When things inevitably break, you eagerly jump in to diagnose and fix the core issues. Experience working in an early-stage startup is a huge plus.

Nice to haves:

Fintech / Accounting experience. Experience with BI/visualization tooling (e.g. Looker, Metabase, Superset). AWS DevOps Product sense.

What We Offer:

Flexible work hours and remote-friendly culture. Opportunities for continuous learning and professional development. A collaborative and inclusive engineering culture.

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