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Director of Engineering

Arcana Analytics · Bangalore, Hybrid

Engineering Arcana Analytics Posted Apr 16, 2026

About Arcana

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to drive that transformation.

What You’ll Do

1. Build & Scale High-Impact Teams

Hire, develop, and lead top-tier engineering talent across functions.
Cultivate a culture of ownership, continuous learning, and psychological safety.
Define team structure and evolve org design as we scale.

2. Drive Technical Strategy & Execution

Set the technical direction for Arcana’s core platform and infrastructure.
Own architecture decisions, technical design reviews, and system scalability.
Ensure delivery of high-quality, performant, and reliable software.

3. Lead Engineering Delivery at Scale

Own execution of major engineering initiatives with predictable timelines.
Partner closely with Product, Design, and Business teams to align on outcomes.
Improve velocity while maintaining high engineering standards.

4. Champion Engineering Excellence

Define and enforce best practices in code quality, CI/CD, testing, and documentation.
Proactively reduce technical debt and improve system robustness.
Lead operational excellence: sprint planning, retrospectives, release cycles.

5. Coach & Develop Talent

Mentor senior engineers from Tier 1 schools & companies
Lead performance conversations, feedback cycles, and career development plans.
Foster a team environment where everyone is empowered to do their best work.

What We’re Looking For

10+ years of software engineering experience, with at least 5 years in engineering leadership roles. Led engineering teams of 20+ people, including both ICs and EMs, across multiple domains.
Proven ability to lead teams that ship high-quality products in fast-paced environments.
Strong technical foundation in scalable systems, distributed architectures, and modern web technologies.
Track record of building and scaling teams in high-growth or startup settings.
Exceptional communication, collaboration, and cross-functional influencing skills.
High ownership mindset with strong bias for action and outcomes.

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Staff Software Engineer (Data Platform)

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Mar 28, 2026

Staff Software Engineer (Data Platform)
Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned Staff Data Engineer. Embark on a journey where your deep-rooted expertise in distributed systems, data architectures, and large-scale processing becomes the cornerstone of building high-performance data platforms. This pivotal role demands proficiency in designing and scaling compute and I/O-intensive data systems, ensuring reliability, efficiency, and cost optimization across the data lifecycle.

Responsibilities:
● Design and build scalable data platform components for batch and real-time data processing.
● Architect, develop, and operationalize large-scale data systems across ingestion, transformation, and serving layers.
● Build and manage robust data pipelines ensuring high reliability, scalability, and cost efficiency.
● Develop reusable frameworks and tooling to accelerate productivity for data engineers and data scientists.
● Leverage expertise in Python, Airflow, SQL, and cloud platforms to build production-grade data solutions.
● Optimize query performance and data models using strong understanding of columnar OLAP systems such as ClickHouse, Doris, and StarRocks.
● Implement streaming and near real-time data processing systems.
● Translate complex business requirements into scalable and efficient data platform solutions.
● Work collaboratively with cross-functional teams and provide technical leadership and mentorship.
● Drive architectural decisions by evaluating tradeoffs and selecting the right tools for the problem.

Requirements:
● Bachelor's Degree in Computer Science, Information Technology, or a similar discipline.
● 8+ years of professional experience in data engineering, backend systems, or distributed systems.
● Proven experience building scalable data platforms and large-scale data systems.
● Strong experience with ETL pipelines, data integration, and workflow orchestration systems such as Airflow or Temporal.
● Hands-on experience in Python and SQL with strong understanding of data warehouse concepts.
● Experience working with distributed OLTP/OLAP databases such as ClickHouse, PostgreSQL, Cassandra, or Elasticsearch.
● Knowledge of messaging and streaming systems such as Kafka.
● Experience with cloud platforms (AWS/GCP) and big data tools such as Spark.
● Strong understanding of columnar storage systems and query optimization techniques.
● Solid understanding of distributed systems fundamentals and associated tradeoffs.
● Experience working with containers and orchestration tools such as Docker and Kubernetes.
● Strong Linux fundamentals and system-level debugging skills.
● Familiarity with modern data architectures such as Lakehouse (Iceberg, Hudi, Delta) is a plus.

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Senior AI Engineer — Inference & Agent Systems

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Mar 16, 2026

Title: Senior AI Engineer — Inference & Agent Systems

Location:
- BLR/Remote India

What We're Building

Arcana is building AI agents that synthesize information across heterogeneous sources and deliver structured, reasoned answers in real time. The product only works if the agents are fast, reliable, and correct, not approximately correct.

Our stack: Go + Temporal for orchestration, a Plan-Execute-Synthesize agent architecture, and an evaluation harness we use to measure every regression. The problems are hard. The latency bar is aggressive. The accuracy requirements are unforgiving.

The Work

Inference Optimization

- Drive TTFT below 400ms for multi-step agent pipelines

- Streaming optimization: first token to user while sub-agents are still running

- KV cache strategy, prompt compression, dynamic context window management

- Multi-provider routing: model selection by latency, cost, and task type across OpenAI, Anthropic, Gemini, and open-weight models

Agent Architecture

- Design and implement Plan-Execute-Synthesize pipelines that run sub-agents in parallel DAGs, not sequential chains

- Build reliable orchestration on top of Temporal: retries, timeouts, partial failure recovery, idempotency

- Structured output enforcement: JSON schema validation, retry loops on malformed LLM output, graceful degradation

- Tool call design: schema design that LLMs actually follow reliably across providers

Evaluation & Harness

- Own the eval framework end to end: ground truth datasets, automated scoring pipelines, regression detection on every PR

- LLM-as-judge pipelines for qualitative output assessment

- Latency regression testing - p50/p95/p99 tracked across every deployment

- Adversarial test case design: ambiguous queries, missing data, conflicting sources, malformed tool responses

Infrastructure

- Model serving and cold start optimization

- Async worker architecture for parallel sub-agent execution

- Observability: trace every token, every tool call, every synthesis step

What We're Looking For

You've built something that runs in production at a meaningful scale and you understand why it's fast (or why it isn't).

Strong signal:

- You've worked on inference pipelines where TTFT was the primary metric and you moved it meaningfully

- You've built multi-step agent systems and you know where they break not from reading papers but from watching them fail in production

- You've written eval harnesses from scratch and you have opinions about what makes a ground truth dataset actually useful

- You've debugged LLM non-determinism in production and built systems resilient to it

- You've worked with streaming LLM responses and built infrastructure around partial output handling

Weaker signal (but not disqualifying):

- You've fine-tuned models but haven't shipped inference systems

- You've used LangChain/LlamaIndex but haven't built the layer underneath

- Strong ML research background without systems exposure

Stack familiarity (we care more about depth than match): Go, Python, Temporal, Kafka, PostgreSQL, Docker

Why This Role

The problems here don't have blog posts about them yet. Parallel agent DAG execution under hard latency budgets, streaming synthesis across partial sub-agent results, eval harnesses for non-deterministic multi-step systems: these are genuinely unsolved at production quality. Small team. High ownership. Every engineer's decisions ship to production.

Who We Want to Hear From

You've shipped inference systems at:

- A real-time AI product (search, coding assistant, chat at scale)

- A model serving infrastructure company

- An agent platform (any domain)

Or you've built eval/harness infrastructure that a team of 10+ engineers actually trusted to catch regressions.

Apply

Send to: [careers@arcana.io]

One system you built where latency was the primary constraint what you measured, what you changed, what moved
Link to anything public (code, writing, talks)
No cover letter required

We respond to every application.

Ready to apply?

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Senior AI Engineer — Inference & Agent Systems

Arcana Analytics · United States

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Engineering Arcana Analytics Posted Mar 16, 2026

Title: Applied AI Engineer — Inference & Agent Systems

Location:
United States

What We're Building

Arcana is building AI agents that synthesize information across heterogeneous sources and deliver structured, reasoned answers in real time. The product only works if the agents are fast, reliable, and correct, not approximately correct.

Our stack: Go + Temporal for orchestration, a Plan-Execute-Synthesize agent architecture, and an evaluation harness we use to measure every regression. The problems are hard. The latency bar is aggressive. The accuracy requirements are unforgiving.

The Work

Inference Optimization

- Drive TTFT below 400ms for multi-step agent pipelines

- Streaming optimization: first token to user while sub-agents are still running

- KV cache strategy, prompt compression, dynamic context window management

- Multi-provider routing: model selection by latency, cost, and task type across OpenAI, Anthropic, Gemini, and open-weight models

Agent Architecture

- Design and implement Plan-Execute-Synthesize pipelines that run sub-agents in parallel DAGs, not sequential chains

- Build reliable orchestration on top of Temporal: retries, timeouts, partial failure recovery, idempotency

- Structured output enforcement: JSON schema validation, retry loops on malformed LLM output, graceful degradation

- Tool call design: schema design that LLMs actually follow reliably across providers

Evaluation & Harness

- Own the eval framework end to end: ground truth datasets, automated scoring pipelines, regression detection on every PR

- LLM-as-judge pipelines for qualitative output assessment

- Latency regression testing - p50/p95/p99 tracked across every deployment

- Adversarial test case design: ambiguous queries, missing data, conflicting sources, malformed tool responses

Infrastructure

- Model serving and cold start optimization

- Async worker architecture for parallel sub-agent execution

- Observability: trace every token, every tool call, every synthesis step

What We're Looking For

You've built something that runs in production at a meaningful scale and you understand why it's fast (or why it isn't).

Strong signal:

- You've worked on inference pipelines where TTFT was the primary metric and you moved it meaningfully

- You've built multi-step agent systems and you know where they break not from reading papers but from watching them fail in production

- You've written eval harnesses from scratch and you have opinions about what makes a ground truth dataset actually useful

- You've debugged LLM non-determinism in production and built systems resilient to it

- You've worked with streaming LLM responses and built infrastructure around partial output handling

Weaker signal (but not disqualifying):

- You've fine-tuned models but haven't shipped inference systems

- You've used LangChain/LlamaIndex but haven't built the layer underneath

- Strong ML research background without systems exposure

Stack familiarity (we care more about depth than match): Go, Python, Temporal, Kafka, PostgreSQL, Docker

Why This Role

The problems here don't have blog posts about them yet. Parallel agent DAG execution under hard latency budgets, streaming synthesis across partial sub-agent results, eval harnesses for non-deterministic multi-step systems: these are genuinely unsolved at production quality. Small team. High ownership. Every engineer's decisions ship to production.

Who We Want to Hear From

You've shipped inference systems at:

- A real-time AI product (search, coding assistant, chat at scale)

- A model serving infrastructure company

- An agent platform (any domain)

Or you've built eval/harness infrastructure that a team of 10+ engineers actually trusted to catch regressions.

Apply

Send to: [careers@arcana.io]

Include:

One system you built where latency was the primary constraint what you measured, what you changed, what moved
Link to anything public (code, writing, talks)
No cover letter required

We respond to every application.

Ready to apply?

Apply to Arcana Analytics

Arcana Analytics

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Staff Frontend Engineer

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Mar 6, 2026

Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned Senior Frontend Engineer. Embark on a journey where your deep-rooted expertise in computer science fundamentals, alongside an intricate understanding of data structures, algorithms, and system design, becomes the cornerstone of innovative solutions. This pivotal role not only demands your proficiency in developing and elevating compute and I/O-intensive applications but also ensures their peak performance and unwavering reliability.

Responsibilities:

Front-End Excellence: This role demands deep expertise in React, requiring you to harness its full potential to architect and build innovative, user-centric web interfaces.
Innovative Collaboration: Partner with our Product Management (PM) and Design teams to meticulously define feature specifications, leveraging leading frameworks such as React to craft exceptional products.
Performance Optimisation: Elevate the quality, efficiency, and performance of UI and infrastructure application code through rigorous analysis and optimization.
Backend Integration: Architect and develop backend API servers that communicate with our data infrastructure, ensuring seamless data delivery through the Arcana UI.
System Scalability: Drive enhancements in efficiency, scalability, and stability across various system resources, setting new benchmarks in performance.
Technical Communication: Articulate complex features and systems with precision, enhancing team understanding and collaboration.
Ownership and Expertise: Assume responsibility for significant components, features, or systems, demonstrating an expert-level, end-to-end understanding and consistently delivering on major projects with high productivity.

Requirements:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
At least 8 years of experience with modern front-end and back-end systems and a solid background in object-oriented software development.
Advanced skills in HTML, CSS, JS, and frameworks like React.
A keen interest in exploring new technologies to address customer needs, coupled with the creative freedom to propose innovative solutions.
Previous product development experience or a strong desire to understand and contribute to the holistic product vision.

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Lead Security Engineer

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Mar 4, 2026

As our Lead Security Engineer, you'll own and elevate Arcana's overall security posture - cloud, on-prem, and everything in between. You'll design and enforce policies, automate controls, and harden infrastructure end-to-end. While your primary focus will be on our GCP resources, you'll also partner with teams across networking, applications, and compliance to ensure we're secure by design and resistant to drift.

Responsibilities:

Enterprise Security Architecture - Governance and Compliance, including driving adherence to ISO 27001, SOC 2, GDPR, and enforcing CIS benchmarks on all infrastructure.
Policy, Automation, and Guardrails - own the end-to-end security lifecycle by defining policy-as-code, embedding continuous compliance checks into CI/CD, and building automated, drift-resistant guardrails across cloud, containers, and VMs.
Infrastructure Hardening and Drift Detection - implement automated drift alerts and self-healing playbooks for VPCs, firewall rules, Kubernetes clusters, and endpoints.
Monitoring, Logging, and Incident Response - configure Cloud Audit Logs, SIEM exports, and custom alerts for critical security events; lead root-cause investigations, build detection logic, and develop runbooks for cloud-wide incidents.

Requirements:

5+ years driving security and compliance in dynamic, regulated environments- securing cloud-native platforms and hybrid infrastructures, with deep familiarity in fintech and portfolio-management standards, and best practices for supporting distributed, remote teams.
Deep expertise with GCP security (IAM, KMS, VPC Service Controls, Cloud Logging/Audit, WAF, SecOps) and Kubernetes application hardening.
Strong Infrastructure-as-Code skills (Terraform or equivalent) and GitOps experience (ArgoCD, Flux).
Proficiency in Python scripting and policy-as-code frameworks (OPA, Gatekeeper).
Excellent communicator - able to translate technical findings into clear policies and remediation plans.

Helpful Experience:

Familiarity with multi-cloud security controls.
Security certifications (GCP Professional Security Engineer, CISSP, CKA/CKS).
Experience with service mesh (Istio/Anthos) or zero-trust architectures.

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Customer Success Manager

Arcana Analytics · New York, United States

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Portfolio Data & Operations Arcana Analytics Posted Mar 4, 2026

Job Title: Customer Success Manager

Location: Remote

Job Type: Full-Time

Shift timings: 9 PM IST to 6 AM IST

About Us:

We are seeking Customer Success Managers to join our team and collaborate closely with our clients, analysts, sales, product, and engineering teams. In this role, you'll be instrumental in ensuring client success and driving company growth. You’ll proactively engage with clients, helping them navigate our platform, optimize their workflows, and achieve their business objectives. By translating financial insights into actionable strategies, you’ll foster strong relationships, drive product adoption, and maximize client value.

Key Responsibilities:

Customer Support: Provide prompt and effective support to customers through email and support chat.
Product Knowledge: Maintain a deep understanding of company products and services to assist customers effectively and provide appropriate solutions.
Collaboration: Work closely with other departments (Sales, Product, and Engineering) to address customer concerns and provide seamless support.
Issue Resolution: Troubleshoot and resolve customer issues, concerns, or technical problems with empathy and professionalism.
Escalation Management: Identify complex issues and escalate them to the appropriate department or higher-level support while ensuring the customer is kept informed.
Customer Feedback: Gather customer feedback and provide insights to the team to help improve products, services, and overall customer experience.

Qualifications:

Education: Bachelor’s or Master’s degree in Finance, Applied Statistics & Analytics, Economics, or a related field from a reputable institution. A minimum GPA of 8.0/10 (or equivalent) is required.
Experience: 3-8 years of experience in customer support, client services, or a similar role within financial services, financial technology, or institutional investing. Experience working with hedge funds, asset managers, or institutional clients is highly preferred.
Technical & Analytical Skills: Strong problem-solving and troubleshooting abilities to diagnose and resolve complex client issues efficiently.
Industry Knowledge: Familiarity with financial markets, investment analytics, and risk management tools is a strong advantage.
Communication: Ability to engage with senior-level clients in a professional and solution-oriented manner.

Why Join Us?

A dynamic, fast-paced startup environment.
Competitive compensation & growth opportunities.
Opportunity to collaborate with a talented engineering team.

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Financial Analyst

Arcana Analytics · Bangalore

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Portfolio Data & Operations Arcana Analytics Posted Feb 5, 2026

We’re looking for world-class front-office Financial Analysts to join our mission at Arcana—a next-generation portfolio intelligence company powering hedge funds, and asset managers. This role isn’t your typical modeling-and-memos analyst gig. Our analysts work hand-in-hand with product, engineering, and data science to build the future of institutional-grade finance software. Work experience in buy-side financial institutions or top-tier investment banks, and strong Excel skills are a necessity.

If you’re passionate about numbers but thrive at the intersection of finance, technology, and quantitative thinking, this is the role for you.

Responsibilities:

Presentation and analysis of data utilizing charts, tables, and Excel.
Analyzing financial reports, market, and asset performance to draw useful takeaways in the frame of an investor.
Interpreting information about yield, price, risk, stability, and other factors that contribute to a financial asset's investment merits.
Deep understanding of quantitative risk modeling to innovate and improve upon our commercial risk model & portfolio analytics.
Conducting unit economic and financial analysis.
Working closely with the data engineering and data science team to interpret, check, and source relevant metrics and data.

Requirements:

Top-tier pedigree: Bachelor’s or Master's degree with honors (8.0+ GPA mandatory). Ideally from an IIT/IIM/top global university. MBA/CFA/FRM is a strong plus.
2+ years of experience in a front-office financial role (typically, Investment Banking, or Investment Due Diligence).
Must have strong communication skills (verbal and written).
Methodical, concise, and accurate work style, with strong attention to detail and deadlines.
Able to quickly learn and apply technical understanding to solve problems.
An aptitude and interest in quantitative risk management, information technology, and the latest trends.
Conscientious and focused on objectives with an attitude, and with written and verbal communication.
Sound experience in data analysis, validation, and presentation of results (MS Excel).

Preferred locations: Remote, Bangalore, Mumbai, Delhi, or Coimbatore are a plus.

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Data Analyst

Arcana Analytics · Coimbatore/Bangalore/Remote

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Portfolio Data & Operations Arcana Analytics Posted Jan 23, 2026

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to help drive that transformation.

We are looking for a Data Analyst to work with large-scale financial datasets, ensure high data quality, and deliver actionable insights through dashboards and reports.
The role focuses on building and maintaining robust data quality frameworks and collaborating closely with internal and external stakeholders at scale.

Responsibilities

Manage and analyze large volumes of daily financial data
Design, implement, and continuously improve data quality frameworks
Perform data validation, reconciliation, and monitoring
Resolve Level 1 & Level 2 data quality issues; escalate complex issues to Data Science teams
Use SQL and Python for data analysis, scripting, and development
Build and maintain dashboards and reports for business insights
Work with large-scale datasets (100TB+) covering 100K+ global companies
Apply statistical techniques to monitor data accuracy and anomalies
Collaborate with cross-functional teams and share insights with stakeholders

Requirements

Strong understanding of data quality, validation, and reconciliation concepts
Advanced SQL skills (complex queries, joins, performance optimization)
Proficiency in Python for data analysis and scripting
Experience with dashboarding and reporting tools
Ability to work in large-scale / big data environments
Working knowledge of statistics for data monitoring and validation
Strong communication and stakeholder management skills
Experience handling data from multiple and diverse sources

Qualifications

Bachelor’s degree in BCA / MCA / Engineering
CGPA: 8+
Prior experience in Finance / FinTech preferred
Exposure to financial datasets is a plus

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Director of Security Engineering

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Dec 31, 2025

As our Lead Security Engineer, you'll own and elevate Arcana's overall security posture - cloud, on-prem, and everything in between. You'll design and enforce policies, automate controls, and harden infrastructure end-to-end. While your primary focus will be on our GCP resources, you'll also partner with teams across networking, applications, and compliance to ensure we're secure by design and resistant to drift.

Responsibilities:

Enterprise Security Architecture - Governance and Compliance, including driving adherence to ISO 27001, SOC 2, GDPR, and enforcing CIS benchmarks on all infrastructure.
Policy, Automation, and Guardrails - own the end-to-end security lifecycle by defining policy-as-code, embedding continuous compliance checks into CI/CD, and building automated, drift-resistant guardrails across cloud, containers, and VMs.
Infrastructure Hardening and Drift Detection - implement automated drift alerts and self-healing playbooks for VPCs, firewall rules, Kubernetes clusters, and endpoints.
Monitoring, Logging, and Incident Response - configure Cloud Audit Logs, SIEM exports, and custom alerts for critical security events; lead root-cause investigations, build detection logic, and develop runbooks for cloud-wide incidents.

Requirements:

5+ years driving security and compliance in dynamic, regulated environments- securing cloud-native platforms and hybrid infrastructures, with deep familiarity in fintech and portfolio-management standards, and best practices for supporting distributed, remote teams.
Deep expertise with GCP security (IAM, KMS, VPC Service Controls, Cloud Logging/Audit, WAF, SecOps) and Kubernetes application hardening.
Strong Infrastructure-as-Code skills (Terraform or equivalent) and GitOps experience (ArgoCD, Flux).
Proficiency in Python scripting and policy-as-code frameworks (OPA, Gatekeeper).
Excellent communicator - able to translate technical findings into clear policies and remediation plans.

Helpful Experience:

Familiarity with multi-cloud security controls.
Security certifications (GCP Professional Security Engineer, CISSP, CKA/CKS).
Experience with service mesh (Istio/Anthos) or zero-trust architectures.

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QA Engineer (Manual)

Arcana Analytics · Coimbatore

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Engineering Arcana Analytics Posted Dec 26, 2025

We're seeking a passionate Manual QA Engineer to drive the quality and performance of our software products. You'll take charge of test plans, hunt down bugs, and collaborate with development and product teams to ensure high-quality releases. Your work will be key in maintaining the high standards of our platform and enabling product development at Arcana.

Responsibilities:
- Design and execute comprehensive manual test plans and test cases for web applications.
- Conduct functional, regression, integration, and system testing across multiple platforms.
- Identify, report, and track defects, ensuring timely resolution in collaboration with the development team.
- Ensure that products meet user requirements and perform well under different scenarios and conditions.
- Work closely with developers and product managers to understand requirements and provide feedback on design and usability.
- Provide thorough documentation for test procedures and results.
- Assist in the continuous improvement of QA processes and methodologies.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field.
- 2+ years of experience in manual testing of web-based applications.
- Strong understanding of software testing methodologies, tools, and processes.
- Experience in writing clear, concise, and comprehensive test cases and test plans.
- Familiarity with bug-tracking tools such as Linear or JIRA.
- Knowledge of SQL and experience in database testing.
- Good understanding of web technologies (HTML, CSS, JavaScript) and APIs.
- Strong problem-solving skills with attention to detail.
- Excellent communication and collaboration skills.
- Preferred:
- Experience in testing financial or analytics software.
- Familiarity with Agile methodologies.

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SDET

Arcana Analytics · Coimbatore

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Engineering Arcana Analytics Posted Dec 22, 2025

SDET

We are looking for a meticulous SDET who will be responsible for the design and implementation of automated tests and test environments for Arcana. The engineer must have a passion for diving into data and technology, be a problem solver, and have a desire to improve software quality within a team environment. This role is critical in ensuring technology functions efficiently and effectively, minimizes errors, and helps meet software quality goals.

Responsibilities:

Collaborate with various teams at Arcana to understand automation needs.
Contribute to and maintain test automation framework development.
Lead programmatic best practices by example; be a hands-on programmer.
Estimate efforts, identify risks, devise mitigation plans, and meet project automation schedules.
Monitor automation metrics for continuous quality and process improvements.

Requirements:

3 to 4 years of strong experience developing test automation for frontend automation using Playwright, Selenium, or other browser automation tools.
Experience automating GraphQL APIs, REST APIs, etc.
Expert-level knowledge in one or more programming languages: Python, Java, JavaScript, etc.
Experience with industry best practices in software development processes: unit testing, code coverage, object-oriented design, code quality, automation, code reviews, etc.
Proven ownership and delivery of automation for a sizable product or product component; strong sense of independence and self-direction.
Experience working with large codebases, writing new code, and maintaining existing code.
Ability to work with cross-functional teams, prioritize automation requirements, and deliver in a timely fashion.
Experience working with CI/CD tools.
Proficient in Git, Bitbucket, or other version control tools.
Working knowledge of SQL, GCP/AWS, and database systems.

Preferred:
Experience automating financial or analytics software.

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Portfolio Data Analyst

Arcana Analytics · Bangalore

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Portfolio Data & Operations Arcana Analytics Posted Dec 17, 2025

We are seeking dynamic Portfolio Data Analysts to join our team and collaborate closely with our founders, financial analysts, product managers, and engineers. In this role, you'll play a pivotal part in supporting our client onboarding and success team. You'll need a strong ability to analyze financial data, translate insights into actionable strategies, and effectively guide clients through our platform's features to drive their success.

Responsibilities:

Analyze and onboard portfolio data from various sources into Arcana's data integration ecosystem.
Collaborate with engineering, product management, and data operations teams to deliver high-quality, timely, and reliable data solutions through Arcana's platform.
Work with a range of third-party data providers to integrate their data into Arcana's system.
Develop and support data aggregation solutions based on client and third-party content, tailored to user workflow needs.
Collaborate with user experience, design, and project management teams to develop data-oriented workflow solutions and product enhancements.
Analyze and implement solutions to improve data operations and pipeline efficiency.
Understand Arcana's products and clients, working closely with internal stakeholders to identify new opportunities to serve clients and grow the business.
Contribute to the evolution of Arcana's financial data solutions, ensuring the platform remains a leading integrator of market-traded and alternative asset data.

Requirements:

GPA of 8.0+
Data analysis experience with exposure to finance and investment management.
Strong communication and interpersonal skills for collaborating with vendors, clients, and internal teams.
Ability to communicate complex ideas, problems, and solutions clearly both verbally and in writing for development, sales, clients, and third-party data providers.
Ability to work with engineering teams to define functional and technical solutions to business problems, including a solid understanding of data development, data modeling, and writing/reviewing technical documentation.
A passion for the finance and technology space, with a focus on solving complex problems in the investment management industry.
Experience working with financial data and concepts relevant to Arcana's clients and products is highly preferred.

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DevOps Engineer

Arcana Analytics · Bangalore

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Engineering Arcana Analytics Posted Dec 17, 2025

Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned DevOps Engineer (Bangalore, Coimbatore). Embark on a journey where your deep-rooted expertise in computer science fundamentals, alongside an intricate understanding of data structures, algorithms, and system design, becomes the cornerstone of innovative solutions. This pivotal role not only demands your proficiency in developing and elevating compute and I/O-intensive applications but also ensures their peak performance and unwavering reliability.

Responsibilities:

Own design and implementation of infrastructure services including GCP cloud architecture.
Build and maintain highly automated infrastructure using tools like Terraform, Ansible, and scripting (Python/Go).
Drive improvements in system reliability, performance monitoring, logging, and alerting systems.
Ensure systems are secure by design—manage access controls, secrets, and network segmentation with a strong security-first mindset.
Build internal tooling and CI/CD pipelines to accelerate developer productivity.
Collaborate with engineering leaders and mentor a growing team of infrastructure engineers.
Work closely with application teams, product managers, and leadership to align infrastructure efforts with Arcana’s technical roadmap.

Requirements:

4 + years of hands-on experience in DevOps/Infrastructure Engineering roles, preferably at high-growth tech startups or product companies.
Deep expertise in Linux systems, distributed systems, containers, Kubernetes, and cloud (preferably GCP/AWS).
Strong programming skills in Python, Go, or similar languages; scripting expertise is a must.
Proven experience with infrastructure-as-code, automation, CI/CD (e.g., GitHub Actions, ArgoCD, Jenkins), and monitoring tools like Prometheus, ELK, or Grafana.
Strong focus on security, reliability, and performance in high-availability environments.
Leadership experience or strong mentorship history, comfortable driving architectural decisions and influencing engineering culture.
Excellent communication skills; ability to work cross-functionally with both technical and non-technical teams.
Experience scaling infrastructure for fast-growing startups
Exposure to cloud-native security practices and zero-trust architectures
Background in developer platforms or internal tooling
Familiarity with data-heavy or ML-based system
Passion for elegant tooling and developer enablement

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Senior Backend Engineer

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Dec 8, 2025

Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned Senior Backend Engineer. Embark on a journey where your deep-rooted expertise in computer science fundamentals, alongside an intricate understanding of data structures, algorithms, and system design, becomes the cornerstone of innovative solutions. This pivotal role not only demands your proficiency in developing and elevating compute and I/O-intensive applications but also ensures their peak performance and unwavering reliability.

Responsibilities:

Architect, refine, and escalate the capabilities of complex backend systems using Python, with a laser focus on efficiency, durability, and scale.
Elevate application performance, optimizing for speed, scalability, and resource allocation.
Forge robust methodologies to manage high concurrency and vast data volumes, setting new industry benchmarks.
Collaborate intimately with engineering and product peers to crystallize requirements into resilient, scalable architectures.
Demonstrate proficiency with advanced storage solutions and databases like Redis, PostgreSQL, and ClickHouse, enhancing system integrity.
Champion coding excellence, testing rigor, and deployment precision, driving best practices across the development lifecycle.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum of 2 years of experience in backend development with Python in a production environment.
Proven experience in scaling compute and I/O-intensive applications.
Strong foundation in computer science, with a deep understanding of data structures, algorithms, and system design principles.
Experience in handling concurrent requests at scale and optimizing large-scale systems for performance and reliability.
Familiarity with database technologies such as Redis, PostgreSQL, and ClickHouse.
Experience in the financial sector, particularly in developing fintech applications or systems, is a plus.
Solid understanding of software development life cycle, continuous integration, and continuous delivery (CI/CD) practices.

Excellent problem-solving abilities and strong communication skills.

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Senior Data Scientist

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Oct 18, 2025

We're looking for a dynamic Senior Data Scientist to join our team, working alongside our founders, financial analysts, product managers, and engineers. This is your chance to get hands-on with massive datasets, crafting the metrics that matter to institutional investors worldwide. For those who are curious and passionate about financial technologies, this is a great opportunity to work at an extremely well-capitalized startup with a proven team of senior financial and tech industry talent to build the future of investing tools.

Responsibilities:

Work with large and complex data sets and derive investment-relevant metrics in close partnership with financial analysts and engineers.
Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various assets.
Implement the risk factor model using advanced statistical and programming techniques, ensuring its performance aligns with the proposed design.
Conduct rigorous testing and validation of the model to ensure its effectiveness in identifying, quantifying, and managing various risk factors.
Build customer-facing metrics and dashboards.
Work closely with analysts, engineers, and Product Managers and provide feedback as we develop our data analytics and research platform.

Requirements:

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e. g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science). IIT preferred.
3+ years of experience with data analysis and metrics development.
3+ years of experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders.
2+ years of experience writing SQL queries.
2+ years of experience scripting in Python.
Interested in learning new technologies to solve customer needs with lots of creative freedom.
Strong communication skills and business acumen.
Self-starter, motivated by an interest in developing the best possible solutions to problems.
Strong SQL and Python programming skills.
Experience with Airflow, Google BigQuery, and Clickhouse is a plus.

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Senior Frontend Engineer

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Oct 18, 2025

Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned Senior Frontend Engineer. Embark on a journey where your deep-rooted expertise in computer science fundamentals, alongside an intricate understanding of data structures, algorithms, and system design, becomes the cornerstone of innovative solutions. This pivotal role not only demands your proficiency in developing and elevating compute and I/O-intensive applications but also ensures their peak performance and unwavering reliability.

Responsibilities:

Front-End Excellence: This role demands deep expertise in React, requiring you to harness its full potential to architect and build innovative, user-centric web interfaces.
Innovative Collaboration: Partner with our Product Management (PM) and Design teams to meticulously define feature specifications, leveraging leading frameworks such as React to craft exceptional products.
Performance Optimisation: Elevate the quality, efficiency, and performance of UI and infrastructure application code through rigorous analysis and optimization.
Backend Integration: Architect and develop backend API servers that communicate with our data infrastructure, ensuring seamless data delivery through the Arcana UI.
System Scalability: Drive enhancements in efficiency, scalability, and stability across various system resources, setting new benchmarks in performance.
Technical Communication: Articulate complex features and systems with precision, enhancing team understanding and collaboration.
Ownership and Expertise: Assume responsibility for significant components, features, or systems, demonstrating an expert-level, end-to-end understanding and consistently delivering on major projects with high productivity.

Requirements:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
At least 3 years of experience with modern front-end and back-end systems and a solid background in object-oriented software development.
Advanced skills in HTML, CSS, JS, and frameworks like React.
A keen interest in exploring new technologies to address customer needs, coupled with the creative freedom to propose innovative solutions.
Previous product development experience or a strong desire to understand and contribute to the holistic product vision.

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Senior Data Engineer

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Oct 18, 2025

Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned Senior Data Engineer. Embark on a journey where your deep-rooted expertise in computer science fundamentals, alongside an intricate understanding of data structures, algorithms, and system design, becomes the cornerstone of innovative solutions. This pivotal role not only demands your proficiency in developing and elevating compute and I/O-intensive applications but also ensures their peak performance and unwavering reliability.

Responsibilities:

Develop and implement real-time data ingestion and processing systems.
Design, build, and operationalize large-scale enterprise data solutions and applications.
Create and manage production data pipelines, from ingestion to consumption, within a big data architecture using PySpark.
Leverage expertise in Python, Airflow, SQL, and cloud platforms to build robust solutions (strong knowledge of these is essential).
Translate complex business challenges into scalable and efficient technical solutions.
Work collaboratively with a high-performing data engineering team, owning the full lifecycle of solution implementation.

Requirements:

Bachelor's Degree in Computer Science, Information Technology, or a similar discipline.
3 - 8 years of professional experience in data engineering or related fields.
Proven experience with ETL processes, data integration, and handling large-scale datasets using PySpark.
Strong understanding of data engineering concepts like ETL, near/real-time streaming, data structures, and workflow management.
Experience with version control tools like Git/GitHub.
Proficiency in SQL and Data Warehouse concepts.
Experience working with SQL or NoSQL databases like Cassandra, MongoDB, or HBase.
Knowledge of AWS technologies such as EMR, RedShift, Kinesis, Lambda, Glue, S3 IAM, CloudWatch, and big data tools like Hadoop/EMR, Hive, and Sqoop.

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Data Associate

Arcana Analytics · Coimbatore

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Portfolio Data & Operations Arcana Analytics Posted Oct 18, 2025

We are seeking a detail-oriented Data Associate to join our growing team. As a Data Associate, you will work closely with our product managers, financial analysts, and engineers to ensure high-quality data integration, analysis, and maintenance. The ideal candidate will have a passion for working with large datasets, a strong analytical mindset, and a desire to make an impact in the financial technology space.

Responsibilities:

Work with large datasets to ensure data accuracy, consistency, and integrity across databases.
Partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency.
Support internal teams by creating and maintaining internal reports and dashboards.
Diagnose and highlight data pipeline issues, escalating complex problems as needed.
Respond promptly to data-related inquiries and requests from clients, internal teams (Sales, Services), and external data providers/partners.
Collaborate with regional teams on shared operational workflows and cross-functional projects.
Maintain and update team resources and procedural documentation, and ensure accurate recording of metrics for internal reporting and analytics.
Conduct daily verification checks to ensure the accuracy and timely availability of client portfolio data, adhering to defined SLAs.

Requirements:

Bachelor's degree in a relevant field (Mathematics, Statistics, Data Science, Finance, Economics, or related disciplines).
GPA of 8.0+ is required
Strong understanding of data management and analytics.
Proficiency in Excel and/or other data analysis tools.
Excellent communication and interpersonal skills for engaging with internal and external data partners.
Consistent track record of multitasking and prioritizing effectively in a fast-paced environment, and remaining calm under pressure.
Open to working flexible hours (early morning, day shift, evening shift)

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IT Support Engineer

Arcana Analytics · Coimbatore, Hybrid

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Engineering Arcana Analytics Posted Sep 26, 2025

We are looking for an IT Support Engineer to provide day-to-day on-site and remote support to employees, ensuring smooth operations across hardware, software, and core IT services. This role requires a security-first mindset, strong troubleshooting skills, and the ability to work collaboratively with teams to support business operations at scale.

Key Responsibilities

Provide on-site and remote IT support via walk-ups, tickets, and chat.
Deliver hardware and software troubleshooting and break-fixes for macOS and Windows systems.
Support and maintain IT services such as MDM (Kandji), SentinelOne EDR, Google Workspace, Slack, Okta, PAM solutions, and vulnerability management tools.
Install, configure, and maintain software, hardware, and network devices.
Manage IT assets, including procurement, deployment, lifecycle tracking, and audits.
Monitor and respond to security alerts, ensuring compliance with security best practices.
Provide IT support for meeting room technology, conferencing tools, and A/V systems.
Troubleshoot and escalate network connectivity issues (Wi-Fi, VPN, switches, access points).
Conduct new hire onboarding and offboarding, including provisioning/deprovisioning of accounts and devices.
Develop and maintain IT documentation, knowledge base articles, and SOPs.
Partner with Operations and other stakeholders on IT and infrastructure projects.
Contribute to process improvements and optimization of IT support tools and workflows.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent practical experience.
4-6 years of IT support or system administration experience.
Strong knowledge of macOS and Windows environments.
Hands-on experience with tools such as Google Workspace, Okta, Slack, MDM (Kandji), EDR (SentinelOne).
Familiarity with asset management, IT procurement, and lifecycle management.
Strong troubleshooting, communication, and documentation skills.
Security-first mindset with experience handling security alerts and vulnerabilities.

Nice to Have

Industry certifications such as CompTIA A+, Network+, Security+, or equivalent.
Experience with PAM solutions, system vulnerability management tools, or advanced networking.
Prior experience in a fast-paced startup environment.
Ability to conduct IT training sessions and employee security awareness programs.

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iOS Developer

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Jun 16, 2025

We're looking for a passionate and experienced Lead iOS Engineer who values clean code, sound design, and collaboration. We're building a next-gen ultra-fast, secure portfolio intelligence platform that blends speed, delight, and reliability, and now, we're ready to bring that experience to iOS. This is a unique opportunity to build the first version of the iOS application from the ground up for Arcana.

Responsibilities:

Work closely with our product, design, and engineering teams to build new and innovative application experiences for the iOS platform.
Implement custom native user interfaces using the latest iOS programming techniques.
Build reusable iOS software components for interfacing with our back-end platforms.
Analyze and optimize UI and infrastructure application code for quality, efficiency, and performance.
Analyze, debug, and optimize application code and infrastructure for performance, efficiency, and quality.
Advocate for and implement iOS development best practices, raising engineering quality across teams.
Continuously invest in client infrastructure to improve development velocity, app reliability, and end-user experience.
Drive the evaluation and adoption of modern mobile frameworks and technologies.
Foster a collaborative, growth-oriented team culture with a focus on technical excellence and continuous improvement.

Requirements:

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience; a Master's or PhD is a plus.
At least 5 years of professional software development experience, focused on iOS development using Objective-C, Swift, and the iOS SDK.
Proven experience designing, building, and maintaining complex, scalable, and testable codebases, with a strong understanding of API design and unit testing strategies.
Solid grasp of multithreading, concurrency, and memory management in mobile environments.
Hands-on experience with feature flagging systems, experimentation systems, and large-scale mobile application architecture.
Strong understanding of data structures and algorithms, with a technical leadership role guiding project teams and setting architectural direction.
Demonstrated experience working in cross-functional and matrixed environments, collaborating effectively across product, design, and engineering teams.
Exposure to or experience with other mobile platforms is a plus (e. g., Android).

Must-Have Skill:

Proficiency in Swift (and Objective-C).
Strong Understanding of iOS SDK and Frameworks.
Experience with Xcode and Interface Builder.
App Architecture Patterns like MVVM, MVC, or Clean Architecture for scalable and maintainable code.
RESTful APIs and Networking.
Unit Testing and Test Automation.
App Store Deployment and Release Cycle.

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Staff Software Engineer

Arcana Analytics · Bangalore, Hybrid

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Engineering Arcana Analytics Posted Jun 16, 2025

Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned Staff/Lead Backend Engineer. Embark on a journey where your deep-rooted expertise in computer science fundamentals, alongside an intricate understanding of data structures, algorithms, and system design, becomes the cornerstone of innovative solutions. This pivotal role not only demands your proficiency in developing and elevating compute and I/O-intensive applications but also ensures their peak performance and unwavering reliability.

Responsibilities:

Architect, refine, and escalate the capabilities of complex backend systems using Python, with a laser focus on efficiency, durability, and scale.
Elevate application performance, optimizing for speed, scalability, and resource allocation.
Forge robust methodologies to manage high concurrency and vast data volumes, setting new industry benchmarks.
Collaborate intimately with engineering and product peers to crystallize requirements into resilient, scalable architectures.
Demonstrate proficiency with advanced storage solutions and databases like Redis, PostgreSQL, and ClickHouse, enhancing system integrity.
Champion coding excellence, testing rigor, and deployment precision, driving best practices across the development lifecycle.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum of 5 years of experience in backend development with Python in a production environment.
Proven experience in scaling compute and I/O-intensive applications.
Strong foundation in computer science, with a deep understanding of data structures, algorithms, and system design principles.
Experience in handling concurrent requests at scale and optimizing large-scale systems for performance and reliability.
Familiarity with database technologies such as Redis, PostgreSQL, and ClickHouse.
Experience in the financial sector, particularly in developing fintech applications or systems, is a plus.
Solid understanding of software development life cycle, continuous integration, and continuous delivery (CI/CD) practices.
Excellent problem-solving abilities and strong communication skills.

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Analyst

Arcana Analytics · New York, United States

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Analyst Arcana Analytics Posted Jun 16, 2025

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to drive that transformation.

This isn’t a typical modeling-and-memos analyst role. Our analysts work directly with product, engineering, and data science to shape institutional-grade financial software. If you’re an analyst looking for more impact, more ownership, and the chance to help shape real tools for investors—we’d love to talk.

Responsibilities

Collaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics components
Analyze portfolio- and security-level performance, risk, and attribution
Decompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes
Conduct market, macroeconomic, and security-level research to support client workflows and product insights
Validate, interpret, and clearly communicate financial metrics to both internal stakeholders and clients

Requirements

1–3 years of experience in a front-office financial role (investment banking, hedge fund, asset management, or similar)
Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasets
Deep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatility
Excellent at communicating with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into clear, actionable insights
Demonstrated deep interest in financial markets, investment strategies, and institutional workflows
Self-starter with the ability to work independently in a fast-paced, remote environment
Familiarity with institutional investment processes, research platforms, and financial data tools

Qualifications

Bachelor’s or Master’s degree from a top-ranked university in Finance, Economics, Engineering, or a related field
Minimum GPA of 3.7 (required)
CFA, FRM, or MBA is a strong plus
Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus

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Lead Product Manager

Arcana Analytics · Bangalore

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Product & Design Arcana Analytics Posted Jun 16, 2025

We are seeking a dynamic Lead Product Manager to join our team and work closely with our founders, financial analysts, engineers, and product managers. In this role, you'll drive the development of innovative features and solutions that support our clients' success. You will play a key role in defining product vision, gathering and prioritizing customer requirements, and collaborating with cross-functional teams to deliver impactful products. Your ability to balance customer needs with business goals and lead product initiatives from concept to execution will be key to driving our platform's growth and success.

Responsibilities:

Develop and implement the product vision for a data platform designed to meet the needs of institutional investors.
Collaborate with clients to understand their data engineering and analytical requirements.
Lead the development of critical features from the initial requirements phase through to final delivery.
Work closely with Product Engineers and Data Engineers to ensure optimal performance, scalability, and reliability of the data platform.
Manage the full product lifecycle, from conceptualization to launch, with a focus on continuous improvement and adaptation to market needs.
Stay up-to-date with the latest trends in data engineering, data lake house technologies, and investment management solutions to ensure the product remains competitive.
Regularly communicate progress and updates to stakeholders and gather client feedback to refine the product roadmap.

Requirements:

5+ years of experience in product management, ideally with a focus on data platforms, data engineering, or analytics products.
Education from IIT or IIM with an 8.0+ GPA (mandatory). MBA is a plus.
Strong proficiency in data technologies, workflows, and tools like SQL, Python, and data engineering concepts.
Proven experience managing data-centric product development with both internal teams and external client requirements.
Excellent communication, client-facing, and cross-functional collaboration skills.

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