Snowflake Developer

Position – SRE Engineer

Location – Navi Mumbai

Who are we

Based out of IIT Bombay, HaystackAnalytics is a HealthTech company creating clinical genomics products, which enable diagnostic labs and hospitals to offer accurate and personalized diagnostics. Supported by India's most respected science agencies (DST, BIRAC, DBT), we created and launched a portfolio of products to offer genomics in infectious diseases. Our genomics-based diagnostic solution for Tuberculosis was recognized as one of the top innovations supported by BIRAC in the past 10 years, and was launched by the Prime Minister of India in the BIRAC Showcase event in Delhi, 2022.

About the Role:

We are seeking a highly skilled Site Reliability Engineer (SRE) to join our infrastructure team. The ideal candidate will bring deep expertise in Linux systems, cloud infrastructure automation, and network administration, with a strong focus on reliability, scalability, and performance. ensuring firewall/network security compliance.

Key Responsibilities:

• Develop and maintain automation scripts (Bash, Python, etc.) for system and cloud infrastructure operations.
• Manage, monitor, and troubleshoot Linux servers in production environments
• Familiarity with Network tools in Linus to triage network connectivity and performance issues .
• Configure, maintain, and secure network infrastructure including switches, routers, and firewalls.
• Design and execute Network Continuity Plans (NCP) and disaster recovery strategies.
• Collaborate with cross functional team for triaging and resolving site specific issues in production related to server deployment , SOP adherence , Triage and defect resolution
• Collaborate with developers and DevOps teams to define SLAs, SLOs, and error budgets.
• Implement proactive monitoring and alerting using modern observability tools.
• Participate in on-call rotations and incident response processes.
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Objectives of this Role:

• Build, automate, and manage scalable infrastructure and deployment pipelines to support development and production environments.
• Enable rapid, secure, and reliable software delivery across engineering teams.
• Ensure system availability, performance, and security in cloud and containerized environments.
• Implement and enforce best practices in CI/CD, observability, and incident response.
• Collaborate with cross-functional teams including software developers, QA, and product managers.
• Proactively identify and automate manual processes to improve engineering efficiency.
• 3–7 years of experience as an SRE, DevOps, or Systems/Network Engineer.
• Strong scripting skills (e.g., Bash, Python, or Go).
• Proficiency in Linux administration and performance tuning.
• Deep understanding of TCP/IP, routing, DNS, firewalls, and networking protocols.
• Hands-on experience managing network infrastructure and firewall rules (e.g., iptables, pfSense, Palo Alto, etc.).
• Docker (multi-stage builds, docker-compose)

Soft Skills

• Proactive problem-solving and ownership mindset
• Strong documentation and communication skills
• Ability to mentor junior engineers
• Curiosity to learn and experiment with emerging DevOps tools

Preferred Qualifications:

• Certifications such as CKA/CKAD, RHCE, AWS Certified SysOps Administrator, or Cisco CCNA/CCNP.
• Experience with service meshes (e.g., Istio), observability stacks (e.g., Prometheus, Grafana), or network policy management (e.g., Calico, Cilium).
• Exposure to secure DevOps practices and compliance standards (e.g., ISO, NIST).

To know more about us – https://haystackanalytics.in

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

Purpose

·        The Analytics and BI Head will collaborate closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions.

·        The candidate will ensure data accuracy and consistent reporting by designing optimal processes and procedures for analytical managers and employees to create and follow.

·        The candidate will manage the processes and people responsible for correct data reporting, modeling, and analysis.

Key Responsibilities

Responsibilities will include but will not be restricted to:

·        Lead cross-functional projects involving advanced data modeling and analysis techniques and review insights that will guide strategic decisions and uncover optimization opportunities.

·        Managing project budgets and financials, including forecasting, monitoring, and reporting.

·        Providing clear and concise instructions to different teams to ensure quality delivery of analysis.

·        Maintain dashboards and performance metrics support that support key business decisions.

·        Planning and executing strategies for completing projects on time.

·        Determining the need for training and talent development.

·        Recruit, train, develop and supervise managerial level employees.

·        Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.

·        Oversee the deliverable pipeline, including rationalization, de-duplication, and prioritization.

·        Anticipate future demands of initiatives related to people, technology, budget and business across the departments and review solutions to meet these needs.

·        Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

Technical Requirements (what)

·        Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques

·        Work Experience of 20+ years in analytics inclusive of 5+ years of experience of leading a team. Candidates from Insurance Industry are preferred.

·        Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

·        Strong problem solving, quantitative and analytical abilities.

·        Strong ability to plan and manage numerous processes, people, and projects simultaneously.

·        The right candidate will also be proficient and experienced with the following tools/programs:

§ Experience with working on big data environments: Teradata, Aster, Hadoop.

§ Experience with testing tools such as Adobe Test & Target.

§ Experience with data visualization tools: Tableau, Raw, chart.js.

§ Experience with Adobe Analytics and other analytics tools.

Desired Personal Qualities or Behavior

·        Strong leadership qualities, ability to communicate the vision crisply and drive collaboration and innovation.

·        Must be an initiative-taker.

·        Strong diligence, organizational skills, and the ability to manage multiple projects

·        Strong written and verbal communication skills, able to communicate effectively and in a professional manner with all levels of the company and outside vendors.

·        Ability to work in a diverse team environment and effectively support the demanding needs of the company.

·        Ability to work under pressure, meet deadlines with shifting priorities.

 Job is based out of Gandhinagar.
FE will work as a decision maker for the trucker side, where he will be entitled to take decisions regarding truck on-boarding, trip finalization, ongoing trip issues or payment related issues, etc. FE will make decisions regarding trucker side operations with taking the Admin team in confidence.

✔ During trucker on-boarding, if any of the truck owners are having more than ten numbers of trucks with the same owner; FE will have to notify the accounts department about it for taxation purposes.

✔ Any kind of internal communication from the trucker side such as communication with material side, admin team, accounts department, or any other department of the organization will be done only through FE.

✔ The same way any communications from the trucker side with individuals who are not part of an organization such as truck owners, transporters, and other stakeholders will be done under direct monitoring of FE.

✔ FE will also have to guide the executives to upload dummy truck-ads to keep the consignors engaged on our platform, but this task shall be done under strict monitoring of FE.

✔ FE will also have to guide and support the executives to finalize the trips.

✔ All the advance payments for finalized trips will be firstly verified by FE, then only he/she will communicate it to the accounts department.

✔ During the loading the process if there is any damage by the driver within the premises of the consignor, FE will have to communicate with the truck driver/owner and SME/CP to make the settlements. In such cases, the final decision will be taken by FE and SME mutually with the admin team in confidence.

✔ In the same way, if there is any damage to the material while unloading, FE will communicate regarding these with truck driver/owner and SME/CP to make settlements. In such cases, the final decision will be taken by FE and SME mutually with the admin team in confidence.

✔ In case of Payment delay or no payment conditions, FE will coordinate with SME and take decisions for trip continuity.

✔ In case of any major breakdown, accident, material/vehicle damage or seizure of vehicle/material by any authority FE will have to communicate with the truck driver/owner to continue the trip.